Face Generation

In this project, you'll use generative adversarial networks to generate new images of faces.

Get the Data

You'll be using two datasets in this project:

  • MNIST
  • CelebA

Since the celebA dataset is complex and you're doing GANs in a project for the first time, we want you to test your neural network on MNIST before CelebA. Running the GANs on MNIST will allow you to see how well your model trains sooner.

If you're using FloydHub, set data_dir to "/input" and use the FloydHub data ID "R5KrjnANiKVhLWAkpXhNBe".

In [1]:
data_dir = './data'

# FloydHub - Use with data ID "R5KrjnANiKVhLWAkpXhNBe"
#data_dir = '/input'


"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import helper

helper.download_extract('mnist', data_dir)
helper.download_extract('celeba', data_dir)
Found mnist Data
Found celeba Data

Explore the Data

MNIST

As you're aware, the MNIST dataset contains images of handwritten digits. You can view the first number of examples by changing show_n_images.

In [2]:
show_n_images = 25

"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
%matplotlib inline
import os
from glob import glob
from matplotlib import pyplot

mnist_images = helper.get_batch(glob(os.path.join(data_dir, 'mnist/*.jpg'))[:show_n_images], 28, 28, 'L')
pyplot.imshow(helper.images_square_grid(mnist_images, 'L'), cmap='gray')
Out[2]:
<matplotlib.image.AxesImage at 0x7f61e3075f60>

CelebA

The CelebFaces Attributes Dataset (CelebA) dataset contains over 200,000 celebrity images with annotations. Since you're going to be generating faces, you won't need the annotations. You can view the first number of examples by changing show_n_images.

In [3]:
show_n_images = 25

"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
mnist_images = helper.get_batch(glob(os.path.join(data_dir, 'img_align_celeba/*.jpg'))[:show_n_images], 28, 28, 'RGB')
pyplot.imshow(helper.images_square_grid(mnist_images, 'RGB'))
Out[3]:
<matplotlib.image.AxesImage at 0x7f61e2fa9c88>

Preprocess the Data

Since the project's main focus is on building the GANs, we'll preprocess the data for you. The values of the MNIST and CelebA dataset will be in the range of -0.5 to 0.5 of 28x28 dimensional images. The CelebA images will be cropped to remove parts of the image that don't include a face, then resized down to 28x28.

The MNIST images are black and white images with a single color channel while the CelebA images have 3 color channels (RGB color channel).

Build the Neural Network

You'll build the components necessary to build a GANs by implementing the following functions below:

  • model_inputs
  • discriminator
  • generator
  • model_loss
  • model_opt
  • train

Check the Version of TensorFlow and Access to GPU

This will check to make sure you have the correct version of TensorFlow and access to a GPU

In [4]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
from distutils.version import LooseVersion
import warnings
import tensorflow as tf

# Check TensorFlow Version
assert LooseVersion(tf.__version__) >= LooseVersion('1.0'), 'Please use TensorFlow version 1.0 or newer.  You are using {}'.format(tf.__version__)
print('TensorFlow Version: {}'.format(tf.__version__))

# Check for a GPU
if not tf.test.gpu_device_name():
    warnings.warn('No GPU found. Please use a GPU to train your neural network.')
else:
    print('Default GPU Device: {}'.format(tf.test.gpu_device_name()))
TensorFlow Version: 1.4.1
Default GPU Device: /device:GPU:0

Input

Implement the model_inputs function to create TF Placeholders for the Neural Network. It should create the following placeholders:

  • Real input images placeholder with rank 4 using image_width, image_height, and image_channels.
  • Z input placeholder with rank 2 using z_dim.
  • Learning rate placeholder with rank 0.

Return the placeholders in the following the tuple (tensor of real input images, tensor of z data)

In [5]:
import problem_unittests as tests

def model_inputs(image_width, image_height, image_channels, z_dim):
    """
    Create the model inputs
    :param image_width: The input image width
    :param image_height: The input image height
    :param image_channels: The number of image channels
    :param z_dim: The dimension of Z
    :return: Tuple of (tensor of real input images, tensor of z data, learning rate)
    """
    # TODO: Implement Function
    input_real = tf.placeholder(tf.float32, shape=(None, image_width, image_height, image_channels), name='input_real')
    input_z = tf.placeholder(tf.float32, shape=(None, z_dim), name='input_z')
    learning_rate = tf.placeholder(tf.float32, shape=())
    return input_real, input_z, learning_rate


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_inputs(model_inputs)
Tests Passed

Discriminator

Implement discriminator to create a discriminator neural network that discriminates on images. This function should be able to reuse the variables in the neural network. Use tf.variable_scope with a scope name of "discriminator" to allow the variables to be reused. The function should return a tuple of (tensor output of the discriminator, tensor logits of the discriminator).

In [6]:
def leaky_relu(x, alpha):
    return tf.maximum(x, alpha * x)

def discriminator(images, reuse=False):
    """
    Create the discriminator network
    :param images: Tensor of input image(s)
    :param reuse: Boolean if the weights should be reused
    :return: Tuple of (tensor output of the discriminator, tensor logits of the discriminator)
    """
    # TODO: Implement Function
    training = True
    alpha = 0.01

    def conv_layer(prev_layer, layer_depth):
        layer = tf.layers.conv2d(prev_layer, layer_depth, kernel_size=5, strides=2, padding='same', use_bias=False, activation=None)
        layer = tf.layers.batch_normalization(layer, training=training)
        layer = leaky_relu(layer, alpha)
        return layer

    with tf.variable_scope("discriminator", reuse=reuse):
        layer_depths = [16, 32, 64]
        layer = images
        for layer_depth in layer_depths:
            prev_layer = layer
            layer = conv_layer(prev_layer, layer_depth)

        orig_shape = layer.get_shape().as_list()
        conv_layer = tf.reshape(layer, shape=(-1, orig_shape[1] * orig_shape[2] * orig_shape[3]))

        logits = tf.layers.dense(conv_layer, 1, activation=None)
        out = tf.nn.sigmoid(logits) 

        return out, logits


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_discriminator(discriminator, tf)
Tests Passed

Generator

Implement generator to generate an image using z. This function should be able to reuse the variables in the neural network. Use tf.variable_scope with a scope name of "generator" to allow the variables to be reused. The function should return the generated 28 x 28 x out_channel_dim images.

In [7]:
def generator(z, out_channel_dim, is_train=True):
    """
    Create the generator network
    :param z: Input z
    :param out_channel_dim: The number of channels in the output image
    :param is_train: Boolean if generator is being used for training
    :return: The tensor output of the generator
    """
    # TODO: Implement Function
    alpha = 0.01
    
    def full_connected(pre_layer, num_units):
        layer = tf.layers.dense(pre_layer, num_units, use_bias=False, activation=None)
        layer = tf.layers.batch_normalization(layer, training=is_train)
        layer = leaky_relu(layer, alpha)
        return layer
    
    def conv_layer(prev_layer, layer_depth):
        layer = tf.layers.conv2d_transpose(prev_layer, layer_depth, kernel_size=5, strides=2, padding='same', use_bias=False, activation=None)
        layer = tf.layers.batch_normalization(layer, training=is_train)
        layer = leaky_relu(layer, alpha)
        return layer

    with tf.variable_scope("generator", reuse=False if is_train==True else True):
        x = full_connected(z, 7*7*256)
        x = tf.reshape(x, shape=(-1, 7, 7, 256))

        layer_depths = [128, 64] # 14*14*128, 28*28*64
        layer = x
        for layer_depth in layer_depths:
            prev_layer = layer
            layer = conv_layer(prev_layer, layer_depth)

        logits = tf.layers.conv2d_transpose(layer, out_channel_dim, kernel_size=5, strides=1, padding='same', activation=None)
        out = tf.tanh(logits)
    
    return out


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_generator(generator, tf)
Tests Passed

Loss

Implement model_loss to build the GANs for training and calculate the loss. The function should return a tuple of (discriminator loss, generator loss). Use the following functions you implemented:

  • discriminator(images, reuse=False)
  • generator(z, out_channel_dim, is_train=True)
In [8]:
def model_loss(input_real, input_z, out_channel_dim):
    """
    Get the loss for the discriminator and generator
    :param input_real: Images from the real dataset
    :param input_z: Z input
    :param out_channel_dim: The number of channels in the output image
    :return: A tuple of (discriminator loss, generator loss)
    """
    # TODO: Implement Function
    g_model = generator(input_z, out_channel_dim, is_train=True)
    d_model_real, d_logits_real = discriminator(input_real, reuse=False)
    d_model_fake, d_logits_fake = discriminator(g_model, reuse=True)
    
    d_loss_real = tf.reduce_mean(
        tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_real, labels=tf.ones_like(d_model_real)))
    d_loss_fake = tf.reduce_mean(
        tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_fake, labels=tf.zeros_like(d_model_fake)))
    g_loss = tf.reduce_mean(
        tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_fake, labels=tf.ones_like(d_model_fake)))

    d_loss = d_loss_real + d_loss_fake
    return d_loss, g_loss


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_loss(model_loss)
Tests Passed

Optimization

Implement model_opt to create the optimization operations for the GANs. Use tf.trainable_variables to get all the trainable variables. Filter the variables with names that are in the discriminator and generator scope names. The function should return a tuple of (discriminator training operation, generator training operation).

In [9]:
def model_opt(d_loss, g_loss, learning_rate, beta1):
    """
    Get optimization operations
    :param d_loss: Discriminator loss Tensor
    :param g_loss: Generator loss Tensor
    :param learning_rate: Learning Rate Placeholder
    :param beta1: The exponential decay rate for the 1st moment in the optimizer
    :return: A tuple of (discriminator training operation, generator training operation)
    """
    # TODO: Implement Function
    t_vars = tf.trainable_variables()
    d_vars = [var for var in t_vars if var.name.startswith('discriminator')]
    g_vars = [var for var in t_vars if var.name.startswith('generator')]

    # Optimize
    with tf.control_dependencies(tf.get_collection(tf.GraphKeys.UPDATE_OPS)):
        d_train_opt = tf.train.AdamOptimizer(learning_rate, beta1=beta1).minimize(d_loss, var_list=d_vars)
        g_train_opt = tf.train.AdamOptimizer(learning_rate, beta1=beta1).minimize(g_loss, var_list=g_vars)

    return d_train_opt, g_train_opt


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_opt(model_opt, tf)
Tests Passed

Neural Network Training

Show Output

Use this function to show the current output of the generator during training. It will help you determine how well the GANs is training.

In [10]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import numpy as np

def show_generator_output(sess, n_images, input_z, out_channel_dim, image_mode):
    """
    Show example output for the generator
    :param sess: TensorFlow session
    :param n_images: Number of Images to display
    :param input_z: Input Z Tensor
    :param out_channel_dim: The number of channels in the output image
    :param image_mode: The mode to use for images ("RGB" or "L")
    """
    cmap = None if image_mode == 'RGB' else 'gray'
    z_dim = input_z.get_shape().as_list()[-1]
    example_z = np.random.uniform(-1, 1, size=[n_images, z_dim])

    samples = sess.run(
        generator(input_z, out_channel_dim, is_train=False),
        feed_dict={input_z: example_z})

    images_grid = helper.images_square_grid(samples, image_mode)
    pyplot.imshow(images_grid, cmap=cmap)
    pyplot.show()

Train

Implement train to build and train the GANs. Use the following functions you implemented:

  • model_inputs(image_width, image_height, image_channels, z_dim)
  • model_loss(input_real, input_z, out_channel_dim)
  • model_opt(d_loss, g_loss, learning_rate, beta1)

Use the show_generator_output to show generator output while you train. Running show_generator_output for every batch will drastically increase training time and increase the size of the notebook. It's recommended to print the generator output every 100 batches.

In [11]:
def train(epoch_count, batch_size, z_dim, learning_rate, beta1, get_batches, data_shape, data_image_mode):
    """
    Train the GAN
    :param epoch_count: Number of epochs
    :param batch_size: Batch Size
    :param z_dim: Z dimension
    :param learning_rate: Learning Rate
    :param beta1: The exponential decay rate for the 1st moment in the optimizer
    :param get_batches: Function to get batches
    :param data_shape: Shape of the data
    :param data_image_mode: The image mode to use for images ("RGB" or "L")
    """
    # TODO: Build Model
    print_every=10
    show_every=100
    n_sample_images = 72
    steps = 0
    losses = []
   
    batches, image_width, image_height, image_channels = data_shape
    input_real, input_z, _ = model_inputs(image_width, image_height, image_channels, z_dim)
    d_loss, g_loss = model_loss(input_real, input_z, image_channels)
    d_train_opt, g_train_opt = model_opt(d_loss, g_loss, learning_rate, beta1)
    saver = tf.train.Saver()   
    
    with tf.Session() as sess:
        sess.run(tf.global_variables_initializer())
        for epoch_i in range(epoch_count):
            for batch_images in get_batches(batch_size):
                # TODO: Train Model
                steps += 1
                
                # Sample random noise for G
                batch_z = np.random.uniform(-1, 1, size=(batch_size, z_dim))
                
                # Run optimizers
                _ = sess.run(d_train_opt, feed_dict={input_real: batch_images, input_z: batch_z})
                _ = sess.run(g_train_opt, feed_dict={input_z: batch_z, input_real: batch_images})
                
                if steps % print_every == 0:
                    # At the end of each epoch, get the losses and print them out
                    train_loss_d = d_loss.eval({input_z: batch_z, input_real: batch_images})
                    train_loss_g = g_loss.eval({input_z: batch_z})

                    print("Epoch {}/{}...".format(epoch_i+1, epoch_count),
                          "Discriminator Loss: {:.4f}...".format(train_loss_d),
                          "Generator Loss: {:.4f}".format(train_loss_g))
                    # Save losses to view after training
                    losses.append((train_loss_d, train_loss_g))

                if steps % show_every == 0:
                    show_generator_output(sess, n_sample_images, input_z, image_channels, data_image_mode)
        saver.save(sess, './checkpoints/generator.ckpt')
                

MNIST

Test your GANs architecture on MNIST. After 2 epochs, the GANs should be able to generate images that look like handwritten digits. Make sure the loss of the generator is lower than the loss of the discriminator or close to 0.

In [12]:
batch_size = 128
z_dim = 100
learning_rate = 0.002
beta1 = 0.5


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
epochs = 2

mnist_dataset = helper.Dataset('mnist', glob(os.path.join(data_dir, 'mnist/*.jpg')))
with tf.Graph().as_default():
    train(epochs, batch_size, z_dim, learning_rate, beta1, mnist_dataset.get_batches,
          mnist_dataset.shape, mnist_dataset.image_mode)
Epoch 1/2... Discriminator Loss: 0.0146... Generator Loss: 6.6159
Epoch 1/2... Discriminator Loss: 0.1043... Generator Loss: 3.0304
Epoch 1/2... Discriminator Loss: 0.0258... Generator Loss: 4.9682
Epoch 1/2... Discriminator Loss: 1.9979... Generator Loss: 0.2667
Epoch 1/2... Discriminator Loss: 1.2971... Generator Loss: 0.6571
Epoch 1/2... Discriminator Loss: 1.3790... Generator Loss: 0.6497
Epoch 1/2... Discriminator Loss: 1.3559... Generator Loss: 0.4863
Epoch 1/2... Discriminator Loss: 1.3934... Generator Loss: 0.6496
Epoch 1/2... Discriminator Loss: 1.6525... Generator Loss: 0.3175
Epoch 1/2... Discriminator Loss: 1.2624... Generator Loss: 0.9118
Epoch 1/2... Discriminator Loss: 1.2471... Generator Loss: 0.6163
Epoch 1/2... Discriminator Loss: 1.6213... Generator Loss: 0.2952
Epoch 1/2... Discriminator Loss: 1.3946... Generator Loss: 0.4201
Epoch 1/2... Discriminator Loss: 1.2438... Generator Loss: 1.5309
Epoch 1/2... Discriminator Loss: 1.2021... Generator Loss: 0.9685
Epoch 1/2... Discriminator Loss: 1.0847... Generator Loss: 0.8576
Epoch 1/2... Discriminator Loss: 1.0849... Generator Loss: 0.9792
Epoch 1/2... Discriminator Loss: 1.2983... Generator Loss: 0.4735
Epoch 1/2... Discriminator Loss: 1.0711... Generator Loss: 0.7454
Epoch 1/2... Discriminator Loss: 1.1282... Generator Loss: 1.3524
Epoch 1/2... Discriminator Loss: 1.2870... Generator Loss: 0.8134
Epoch 1/2... Discriminator Loss: 1.2404... Generator Loss: 0.7639
Epoch 1/2... Discriminator Loss: 1.1753... Generator Loss: 1.0138
Epoch 1/2... Discriminator Loss: 0.9585... Generator Loss: 0.7626
Epoch 1/2... Discriminator Loss: 1.0064... Generator Loss: 0.9475
Epoch 1/2... Discriminator Loss: 1.0503... Generator Loss: 0.6830
Epoch 1/2... Discriminator Loss: 0.8792... Generator Loss: 0.9875
Epoch 1/2... Discriminator Loss: 1.0929... Generator Loss: 1.6090
Epoch 1/2... Discriminator Loss: 1.2528... Generator Loss: 0.6736
Epoch 1/2... Discriminator Loss: 1.2081... Generator Loss: 0.4859
Epoch 1/2... Discriminator Loss: 0.8939... Generator Loss: 0.8984
Epoch 1/2... Discriminator Loss: 0.9571... Generator Loss: 0.7779
Epoch 1/2... Discriminator Loss: 1.7633... Generator Loss: 2.9328
Epoch 1/2... Discriminator Loss: 1.1869... Generator Loss: 0.6815
Epoch 1/2... Discriminator Loss: 0.5648... Generator Loss: 1.2119
Epoch 1/2... Discriminator Loss: 1.0474... Generator Loss: 1.5335
Epoch 1/2... Discriminator Loss: 1.1838... Generator Loss: 2.9622
Epoch 1/2... Discriminator Loss: 0.4268... Generator Loss: 1.4813
Epoch 1/2... Discriminator Loss: 0.4139... Generator Loss: 1.5465
Epoch 1/2... Discriminator Loss: 0.7027... Generator Loss: 0.8170
Epoch 1/2... Discriminator Loss: 1.7858... Generator Loss: 2.6543
Epoch 1/2... Discriminator Loss: 1.1982... Generator Loss: 2.4021
Epoch 1/2... Discriminator Loss: 2.9504... Generator Loss: 0.0681
Epoch 1/2... Discriminator Loss: 0.7339... Generator Loss: 1.2562
Epoch 1/2... Discriminator Loss: 0.8669... Generator Loss: 0.7568
Epoch 1/2... Discriminator Loss: 0.4261... Generator Loss: 1.9744
Epoch 2/2... Discriminator Loss: 0.5983... Generator Loss: 0.9222
Epoch 2/2... Discriminator Loss: 0.0639... Generator Loss: 3.5995
Epoch 2/2... Discriminator Loss: 0.1232... Generator Loss: 2.9963
Epoch 2/2... Discriminator Loss: 0.0407... Generator Loss: 4.2601
Epoch 2/2... Discriminator Loss: 0.0603... Generator Loss: 3.5047
Epoch 2/2... Discriminator Loss: 0.0811... Generator Loss: 3.3037
Epoch 2/2... Discriminator Loss: 0.0459... Generator Loss: 3.5566
Epoch 2/2... Discriminator Loss: 0.0298... Generator Loss: 4.1363
Epoch 2/2... Discriminator Loss: 0.0420... Generator Loss: 4.0662
Epoch 2/2... Discriminator Loss: 0.0140... Generator Loss: 5.6314
Epoch 2/2... Discriminator Loss: 1.1819... Generator Loss: 0.6606
Epoch 2/2... Discriminator Loss: 1.1193... Generator Loss: 0.7422
Epoch 2/2... Discriminator Loss: 1.2480... Generator Loss: 0.6463
Epoch 2/2... Discriminator Loss: 1.3655... Generator Loss: 0.5464
Epoch 2/2... Discriminator Loss: 1.2026... Generator Loss: 0.8486
Epoch 2/2... Discriminator Loss: 1.4142... Generator Loss: 0.4316
Epoch 2/2... Discriminator Loss: 1.1714... Generator Loss: 1.1209
Epoch 2/2... Discriminator Loss: 1.0163... Generator Loss: 1.6635
Epoch 2/2... Discriminator Loss: 0.7736... Generator Loss: 1.0178
Epoch 2/2... Discriminator Loss: 0.8504... Generator Loss: 0.8915
Epoch 2/2... Discriminator Loss: 0.6455... Generator Loss: 2.3211
Epoch 2/2... Discriminator Loss: 0.5374... Generator Loss: 1.6028
Epoch 2/2... Discriminator Loss: 0.5493... Generator Loss: 2.0642
Epoch 2/2... Discriminator Loss: 1.0709... Generator Loss: 0.5247
Epoch 2/2... Discriminator Loss: 0.9883... Generator Loss: 2.0313
Epoch 2/2... Discriminator Loss: 0.7595... Generator Loss: 0.7259
Epoch 2/2... Discriminator Loss: 0.4116... Generator Loss: 1.5896
Epoch 2/2... Discriminator Loss: 0.4783... Generator Loss: 3.1757
Epoch 2/2... Discriminator Loss: 0.2137... Generator Loss: 3.3299
Epoch 2/2... Discriminator Loss: 1.5235... Generator Loss: 6.6439
Epoch 2/2... Discriminator Loss: 1.1681... Generator Loss: 0.8413
Epoch 2/2... Discriminator Loss: 1.1036... Generator Loss: 0.8920
Epoch 2/2... Discriminator Loss: 1.4255... Generator Loss: 0.3395
Epoch 2/2... Discriminator Loss: 0.7594... Generator Loss: 1.0147
Epoch 2/2... Discriminator Loss: 0.7432... Generator Loss: 2.5397
Epoch 2/2... Discriminator Loss: 0.4626... Generator Loss: 1.3533
Epoch 2/2... Discriminator Loss: 1.6602... Generator Loss: 5.8530
Epoch 2/2... Discriminator Loss: 0.8689... Generator Loss: 2.0209
Epoch 2/2... Discriminator Loss: 1.8455... Generator Loss: 0.2073
Epoch 2/2... Discriminator Loss: 0.2853... Generator Loss: 1.9962
Epoch 2/2... Discriminator Loss: 4.4531... Generator Loss: 7.5260
Epoch 2/2... Discriminator Loss: 0.7174... Generator Loss: 1.6507
Epoch 2/2... Discriminator Loss: 1.1532... Generator Loss: 0.4264
Epoch 2/2... Discriminator Loss: 0.7161... Generator Loss: 1.2630
Epoch 2/2... Discriminator Loss: 0.8040... Generator Loss: 2.2123
Epoch 2/2... Discriminator Loss: 0.6278... Generator Loss: 0.9898
Epoch 2/2... Discriminator Loss: 0.2257... Generator Loss: 2.4843

CelebA

Run your GANs on CelebA. It will take around 20 minutes on the average GPU to run one epoch. You can run the whole epoch or stop when it starts to generate realistic faces.

In [14]:
batch_size = 128
z_dim = 100
learning_rate = 0.002
beta1 = 0.5


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
epochs = 25

celeba_dataset = helper.Dataset('celeba', glob(os.path.join(data_dir, 'img_align_celeba/*.jpg')))
with tf.Graph().as_default():
    train(epochs, batch_size, z_dim, learning_rate, beta1, celeba_dataset.get_batches,
          celeba_dataset.shape, celeba_dataset.image_mode)
Epoch 1/25... Discriminator Loss: 0.0390... Generator Loss: 5.3142
Epoch 1/25... Discriminator Loss: 0.0150... Generator Loss: 9.1619
Epoch 1/25... Discriminator Loss: 0.3852... Generator Loss: 1.2865
Epoch 1/25... Discriminator Loss: 0.0840... Generator Loss: 7.7801
Epoch 1/25... Discriminator Loss: 0.0470... Generator Loss: 3.9465
Epoch 1/25... Discriminator Loss: 0.1038... Generator Loss: 3.4812
Epoch 1/25... Discriminator Loss: 0.0999... Generator Loss: 4.2969
Epoch 1/25... Discriminator Loss: 0.1322... Generator Loss: 2.9880
Epoch 1/25... Discriminator Loss: 0.1600... Generator Loss: 2.8697
Epoch 1/25... Discriminator Loss: 1.6973... Generator Loss: 0.4393
Epoch 1/25... Discriminator Loss: 0.4008... Generator Loss: 1.8484
Epoch 1/25... Discriminator Loss: 0.6674... Generator Loss: 1.6842
Epoch 1/25... Discriminator Loss: 0.7495... Generator Loss: 0.9344
Epoch 1/25... Discriminator Loss: 1.8165... Generator Loss: 0.2492
Epoch 1/25... Discriminator Loss: 1.3758... Generator Loss: 0.4831
Epoch 1/25... Discriminator Loss: 1.0740... Generator Loss: 1.5408
Epoch 1/25... Discriminator Loss: 1.7887... Generator Loss: 0.8551
Epoch 1/25... Discriminator Loss: 1.2487... Generator Loss: 0.7861
Epoch 1/25... Discriminator Loss: 1.1287... Generator Loss: 1.3084
Epoch 1/25... Discriminator Loss: 1.3643... Generator Loss: 0.5507
Epoch 1/25... Discriminator Loss: 1.4335... Generator Loss: 0.7422
Epoch 1/25... Discriminator Loss: 1.7253... Generator Loss: 1.2928
Epoch 1/25... Discriminator Loss: 1.4624... Generator Loss: 0.6202
Epoch 1/25... Discriminator Loss: 1.4421... Generator Loss: 0.6210
Epoch 1/25... Discriminator Loss: 1.5913... Generator Loss: 0.8440
Epoch 1/25... Discriminator Loss: 1.3451... Generator Loss: 0.6824
Epoch 1/25... Discriminator Loss: 1.6123... Generator Loss: 0.6306
Epoch 1/25... Discriminator Loss: 1.3378... Generator Loss: 0.6418
Epoch 1/25... Discriminator Loss: 1.0788... Generator Loss: 0.9257
Epoch 1/25... Discriminator Loss: 1.1588... Generator Loss: 0.8189
Epoch 1/25... Discriminator Loss: 1.4066... Generator Loss: 0.9728
Epoch 1/25... Discriminator Loss: 1.5406... Generator Loss: 0.8262
Epoch 1/25... Discriminator Loss: 1.3829... Generator Loss: 0.7736
Epoch 1/25... Discriminator Loss: 1.4783... Generator Loss: 0.7230
Epoch 1/25... Discriminator Loss: 1.2461... Generator Loss: 1.0096
Epoch 1/25... Discriminator Loss: 1.2798... Generator Loss: 0.7047
Epoch 1/25... Discriminator Loss: 1.2129... Generator Loss: 0.8560
Epoch 1/25... Discriminator Loss: 1.5579... Generator Loss: 0.3427
Epoch 1/25... Discriminator Loss: 1.4200... Generator Loss: 0.3797
Epoch 1/25... Discriminator Loss: 1.2395... Generator Loss: 0.8696
Epoch 1/25... Discriminator Loss: 1.3102... Generator Loss: 0.4705
Epoch 1/25... Discriminator Loss: 1.0579... Generator Loss: 0.7999
Epoch 1/25... Discriminator Loss: 1.4852... Generator Loss: 1.9575
Epoch 1/25... Discriminator Loss: 1.3398... Generator Loss: 0.8609
Epoch 1/25... Discriminator Loss: 0.9837... Generator Loss: 0.9497
Epoch 1/25... Discriminator Loss: 1.6268... Generator Loss: 0.3370
Epoch 1/25... Discriminator Loss: 1.0774... Generator Loss: 0.7950
Epoch 1/25... Discriminator Loss: 0.6419... Generator Loss: 1.3046
Epoch 1/25... Discriminator Loss: 1.1639... Generator Loss: 0.8310
Epoch 1/25... Discriminator Loss: 1.2527... Generator Loss: 0.7744
Epoch 1/25... Discriminator Loss: 2.0928... Generator Loss: 1.7667
Epoch 1/25... Discriminator Loss: 1.1396... Generator Loss: 1.2786
Epoch 1/25... Discriminator Loss: 0.8365... Generator Loss: 0.8084
Epoch 1/25... Discriminator Loss: 1.0968... Generator Loss: 0.5239
Epoch 1/25... Discriminator Loss: 2.7456... Generator Loss: 0.0968
Epoch 1/25... Discriminator Loss: 1.3968... Generator Loss: 1.2461
Epoch 1/25... Discriminator Loss: 1.5026... Generator Loss: 0.6776
Epoch 1/25... Discriminator Loss: 1.1718... Generator Loss: 0.9400
Epoch 1/25... Discriminator Loss: 1.5156... Generator Loss: 0.3695
Epoch 1/25... Discriminator Loss: 1.1527... Generator Loss: 1.8652
Epoch 1/25... Discriminator Loss: 1.0576... Generator Loss: 0.6679
Epoch 1/25... Discriminator Loss: 1.1375... Generator Loss: 0.9993
Epoch 1/25... Discriminator Loss: 1.9600... Generator Loss: 0.1890
Epoch 1/25... Discriminator Loss: 1.7298... Generator Loss: 0.2519
Epoch 1/25... Discriminator Loss: 1.2105... Generator Loss: 1.1552
Epoch 1/25... Discriminator Loss: 0.8640... Generator Loss: 1.2895
Epoch 1/25... Discriminator Loss: 0.8419... Generator Loss: 1.1025
Epoch 1/25... Discriminator Loss: 0.6868... Generator Loss: 1.1939
Epoch 1/25... Discriminator Loss: 0.8762... Generator Loss: 0.8094
Epoch 1/25... Discriminator Loss: 1.2452... Generator Loss: 1.6609
Epoch 1/25... Discriminator Loss: 1.2173... Generator Loss: 0.7440
Epoch 1/25... Discriminator Loss: 0.3857... Generator Loss: 1.5457
Epoch 1/25... Discriminator Loss: 0.8792... Generator Loss: 1.0304
Epoch 1/25... Discriminator Loss: 1.5851... Generator Loss: 0.9954
Epoch 1/25... Discriminator Loss: 0.7901... Generator Loss: 1.2004
Epoch 1/25... Discriminator Loss: 0.8885... Generator Loss: 1.5878
Epoch 1/25... Discriminator Loss: 1.1928... Generator Loss: 0.8421
Epoch 1/25... Discriminator Loss: 1.0222... Generator Loss: 2.1050
Epoch 1/25... Discriminator Loss: 0.8525... Generator Loss: 1.4973
Epoch 1/25... Discriminator Loss: 0.9799... Generator Loss: 0.7567
Epoch 1/25... Discriminator Loss: 0.2878... Generator Loss: 2.0324
Epoch 1/25... Discriminator Loss: 1.1975... Generator Loss: 0.7059
Epoch 1/25... Discriminator Loss: 1.1503... Generator Loss: 0.7828
Epoch 1/25... Discriminator Loss: 1.2188... Generator Loss: 0.7526
Epoch 1/25... Discriminator Loss: 1.3711... Generator Loss: 0.6885
Epoch 1/25... Discriminator Loss: 1.5304... Generator Loss: 0.5805
Epoch 1/25... Discriminator Loss: 1.2845... Generator Loss: 0.6084
Epoch 1/25... Discriminator Loss: 1.1390... Generator Loss: 0.9371
Epoch 1/25... Discriminator Loss: 1.4806... Generator Loss: 0.6145
Epoch 1/25... Discriminator Loss: 1.0973... Generator Loss: 1.3942
Epoch 1/25... Discriminator Loss: 1.5179... Generator Loss: 0.3270
Epoch 1/25... Discriminator Loss: 1.2980... Generator Loss: 1.2831
Epoch 1/25... Discriminator Loss: 1.1789... Generator Loss: 1.0699
Epoch 1/25... Discriminator Loss: 1.1880... Generator Loss: 2.2629
Epoch 1/25... Discriminator Loss: 1.5635... Generator Loss: 0.5890
Epoch 1/25... Discriminator Loss: 1.7441... Generator Loss: 1.8767
Epoch 1/25... Discriminator Loss: 1.0271... Generator Loss: 0.6571
Epoch 1/25... Discriminator Loss: 0.4733... Generator Loss: 1.7711
Epoch 1/25... Discriminator Loss: 0.9108... Generator Loss: 1.2267
Epoch 1/25... Discriminator Loss: 0.9587... Generator Loss: 1.2641
Epoch 1/25... Discriminator Loss: 1.4761... Generator Loss: 0.7813
Epoch 1/25... Discriminator Loss: 1.4250... Generator Loss: 0.7622
Epoch 1/25... Discriminator Loss: 1.3750... Generator Loss: 0.4328
Epoch 1/25... Discriminator Loss: 0.7776... Generator Loss: 0.8344
Epoch 1/25... Discriminator Loss: 1.3213... Generator Loss: 0.7735
Epoch 1/25... Discriminator Loss: 1.2667... Generator Loss: 0.5371
Epoch 1/25... Discriminator Loss: 0.7288... Generator Loss: 0.8795
Epoch 1/25... Discriminator Loss: 0.9577... Generator Loss: 0.7207
Epoch 1/25... Discriminator Loss: 0.8883... Generator Loss: 0.9260
Epoch 1/25... Discriminator Loss: 1.6509... Generator Loss: 0.2807
Epoch 1/25... Discriminator Loss: 1.2929... Generator Loss: 0.8188
Epoch 1/25... Discriminator Loss: 0.7401... Generator Loss: 0.8699
Epoch 1/25... Discriminator Loss: 1.2414... Generator Loss: 0.9061
Epoch 1/25... Discriminator Loss: 1.6478... Generator Loss: 0.2747
Epoch 1/25... Discriminator Loss: 1.6029... Generator Loss: 0.4689
Epoch 1/25... Discriminator Loss: 1.6272... Generator Loss: 0.3466
Epoch 1/25... Discriminator Loss: 1.5609... Generator Loss: 1.2648
Epoch 1/25... Discriminator Loss: 1.4941... Generator Loss: 0.5553
Epoch 1/25... Discriminator Loss: 1.3262... Generator Loss: 0.6950
Epoch 1/25... Discriminator Loss: 1.2249... Generator Loss: 0.9271
Epoch 1/25... Discriminator Loss: 0.8441... Generator Loss: 1.1087
Epoch 1/25... Discriminator Loss: 1.5094... Generator Loss: 0.6817
Epoch 1/25... Discriminator Loss: 1.2634... Generator Loss: 0.6430
Epoch 1/25... Discriminator Loss: 1.3002... Generator Loss: 0.8012
Epoch 1/25... Discriminator Loss: 1.3693... Generator Loss: 0.7960
Epoch 1/25... Discriminator Loss: 1.3044... Generator Loss: 0.7202
Epoch 1/25... Discriminator Loss: 1.2320... Generator Loss: 0.6922
Epoch 1/25... Discriminator Loss: 1.3184... Generator Loss: 0.4396
Epoch 1/25... Discriminator Loss: 0.2971... Generator Loss: 1.8119
Epoch 1/25... Discriminator Loss: 0.1985... Generator Loss: 2.2397
Epoch 1/25... Discriminator Loss: 0.1676... Generator Loss: 2.3304
Epoch 1/25... Discriminator Loss: 2.7488... Generator Loss: 0.2185
Epoch 1/25... Discriminator Loss: 1.3702... Generator Loss: 1.1337
Epoch 1/25... Discriminator Loss: 1.0790... Generator Loss: 0.9638
Epoch 1/25... Discriminator Loss: 1.3933... Generator Loss: 0.8608
Epoch 1/25... Discriminator Loss: 1.4628... Generator Loss: 0.8249
Epoch 1/25... Discriminator Loss: 1.8019... Generator Loss: 0.6428
Epoch 1/25... Discriminator Loss: 1.3718... Generator Loss: 0.6701
Epoch 1/25... Discriminator Loss: 1.4480... Generator Loss: 0.6889
Epoch 1/25... Discriminator Loss: 1.3333... Generator Loss: 0.7585
Epoch 1/25... Discriminator Loss: 1.3382... Generator Loss: 0.6671
Epoch 1/25... Discriminator Loss: 1.2945... Generator Loss: 0.7634
Epoch 1/25... Discriminator Loss: 1.5018... Generator Loss: 0.5063
Epoch 1/25... Discriminator Loss: 1.4791... Generator Loss: 0.7013
Epoch 1/25... Discriminator Loss: 1.4224... Generator Loss: 0.7119
Epoch 1/25... Discriminator Loss: 1.4039... Generator Loss: 0.7527
Epoch 1/25... Discriminator Loss: 1.4311... Generator Loss: 0.4180
Epoch 1/25... Discriminator Loss: 1.1666... Generator Loss: 0.8435
Epoch 1/25... Discriminator Loss: 1.3086... Generator Loss: 0.7762
Epoch 1/25... Discriminator Loss: 1.3753... Generator Loss: 0.6717
Epoch 1/25... Discriminator Loss: 1.2142... Generator Loss: 0.7614
Epoch 1/25... Discriminator Loss: 1.7658... Generator Loss: 1.3829
Epoch 1/25... Discriminator Loss: 1.6006... Generator Loss: 0.6829
Epoch 1/25... Discriminator Loss: 1.4989... Generator Loss: 0.6786
Epoch 1/25... Discriminator Loss: 1.3055... Generator Loss: 0.7609
Epoch 1/25... Discriminator Loss: 1.4008... Generator Loss: 0.8800
Epoch 1/25... Discriminator Loss: 1.4156... Generator Loss: 1.0148
Epoch 1/25... Discriminator Loss: 1.4279... Generator Loss: 1.2545
Epoch 2/25... Discriminator Loss: 1.4921... Generator Loss: 0.6815
Epoch 2/25... Discriminator Loss: 1.3336... Generator Loss: 0.7394
Epoch 2/25... Discriminator Loss: 1.5091... Generator Loss: 0.5852
Epoch 2/25... Discriminator Loss: 0.7291... Generator Loss: 0.8169
Epoch 2/25... Discriminator Loss: 1.1149... Generator Loss: 0.7442
Epoch 2/25... Discriminator Loss: 0.9039... Generator Loss: 1.0499
Epoch 2/25... Discriminator Loss: 1.6027... Generator Loss: 1.2261
Epoch 2/25... Discriminator Loss: 1.0552... Generator Loss: 0.8344
Epoch 2/25... Discriminator Loss: 1.2564... Generator Loss: 0.6519
Epoch 2/25... Discriminator Loss: 1.3216... Generator Loss: 0.8041
Epoch 2/25... Discriminator Loss: 1.1853... Generator Loss: 0.5843
Epoch 2/25... Discriminator Loss: 1.1484... Generator Loss: 0.5972
Epoch 2/25... Discriminator Loss: 1.4260... Generator Loss: 0.3852
Epoch 2/25... Discriminator Loss: 1.1688... Generator Loss: 1.1836
Epoch 2/25... Discriminator Loss: 1.3154... Generator Loss: 0.9465
Epoch 2/25... Discriminator Loss: 1.0284... Generator Loss: 0.8706
Epoch 2/25... Discriminator Loss: 1.9949... Generator Loss: 1.5878
Epoch 2/25... Discriminator Loss: 1.7316... Generator Loss: 0.4114
Epoch 2/25... Discriminator Loss: 1.0982... Generator Loss: 1.0254
Epoch 2/25... Discriminator Loss: 1.3463... Generator Loss: 0.7881
Epoch 2/25... Discriminator Loss: 1.3479... Generator Loss: 0.4625
Epoch 2/25... Discriminator Loss: 1.3066... Generator Loss: 0.9089
Epoch 2/25... Discriminator Loss: 1.3807... Generator Loss: 0.4335
Epoch 2/25... Discriminator Loss: 1.4251... Generator Loss: 0.6643
Epoch 2/25... Discriminator Loss: 1.2121... Generator Loss: 1.0958
Epoch 2/25... Discriminator Loss: 1.2153... Generator Loss: 0.4818
Epoch 2/25... Discriminator Loss: 1.2657... Generator Loss: 0.8930
Epoch 2/25... Discriminator Loss: 1.3143... Generator Loss: 0.9196
Epoch 2/25... Discriminator Loss: 0.8888... Generator Loss: 0.9345
Epoch 2/25... Discriminator Loss: 1.4145... Generator Loss: 0.5935
Epoch 2/25... Discriminator Loss: 1.1435... Generator Loss: 0.8735
Epoch 2/25... Discriminator Loss: 1.2003... Generator Loss: 0.8276
Epoch 2/25... Discriminator Loss: 1.2622... Generator Loss: 0.6900
Epoch 2/25... Discriminator Loss: 1.4471... Generator Loss: 1.4758
Epoch 2/25... Discriminator Loss: 1.2000... Generator Loss: 0.6977
Epoch 2/25... Discriminator Loss: 1.3446... Generator Loss: 1.3281
Epoch 2/25... Discriminator Loss: 0.9934... Generator Loss: 1.1577
Epoch 2/25... Discriminator Loss: 1.2309... Generator Loss: 1.0119
Epoch 2/25... Discriminator Loss: 0.9498... Generator Loss: 1.1849
Epoch 2/25... Discriminator Loss: 2.1675... Generator Loss: 2.6137
Epoch 2/25... Discriminator Loss: 1.0710... Generator Loss: 1.5295
Epoch 2/25... Discriminator Loss: 1.3376... Generator Loss: 0.4610
Epoch 2/25... Discriminator Loss: 1.4140... Generator Loss: 1.3958
Epoch 2/25... Discriminator Loss: 1.6611... Generator Loss: 1.8998
Epoch 2/25... Discriminator Loss: 1.6554... Generator Loss: 1.3857
Epoch 2/25... Discriminator Loss: 1.0565... Generator Loss: 0.8232
Epoch 2/25... Discriminator Loss: 1.3492... Generator Loss: 0.7973
Epoch 2/25... Discriminator Loss: 0.7424... Generator Loss: 1.3711
Epoch 2/25... Discriminator Loss: 0.7525... Generator Loss: 2.0872
Epoch 2/25... Discriminator Loss: 1.3487... Generator Loss: 1.0265
Epoch 2/25... Discriminator Loss: 1.0588... Generator Loss: 1.7559
Epoch 2/25... Discriminator Loss: 2.8910... Generator Loss: 2.8690
Epoch 2/25... Discriminator Loss: 1.2683... Generator Loss: 0.7274
Epoch 2/25... Discriminator Loss: 1.3274... Generator Loss: 0.7818
Epoch 2/25... Discriminator Loss: 1.2566... Generator Loss: 0.7422
Epoch 2/25... Discriminator Loss: 1.3804... Generator Loss: 0.4856
Epoch 2/25... Discriminator Loss: 1.2420... Generator Loss: 0.5655
Epoch 2/25... Discriminator Loss: 0.7528... Generator Loss: 0.8921
Epoch 2/25... Discriminator Loss: 1.5888... Generator Loss: 0.4155
Epoch 2/25... Discriminator Loss: 0.9692... Generator Loss: 0.7451
Epoch 2/25... Discriminator Loss: 1.2425... Generator Loss: 0.8620
Epoch 2/25... Discriminator Loss: 1.0959... Generator Loss: 1.2349
Epoch 2/25... Discriminator Loss: 2.0931... Generator Loss: 1.9744
Epoch 2/25... Discriminator Loss: 1.5838... Generator Loss: 1.8847
Epoch 2/25... Discriminator Loss: 0.7693... Generator Loss: 0.8646
Epoch 2/25... Discriminator Loss: 0.9319... Generator Loss: 0.8719
Epoch 2/25... Discriminator Loss: 1.3935... Generator Loss: 0.8183
Epoch 2/25... Discriminator Loss: 1.0727... Generator Loss: 0.8067
Epoch 2/25... Discriminator Loss: 1.6007... Generator Loss: 0.3474
Epoch 2/25... Discriminator Loss: 1.1944... Generator Loss: 0.9830
Epoch 2/25... Discriminator Loss: 1.3773... Generator Loss: 1.4299
Epoch 2/25... Discriminator Loss: 1.1125... Generator Loss: 1.3003
Epoch 2/25... Discriminator Loss: 1.6269... Generator Loss: 1.5787
Epoch 2/25... Discriminator Loss: 1.0777... Generator Loss: 0.8500
Epoch 2/25... Discriminator Loss: 1.9700... Generator Loss: 2.0281
Epoch 2/25... Discriminator Loss: 1.2115... Generator Loss: 0.7148
Epoch 2/25... Discriminator Loss: 1.5266... Generator Loss: 0.6543
Epoch 2/25... Discriminator Loss: 1.5338... Generator Loss: 0.8359
Epoch 2/25... Discriminator Loss: 1.4139... Generator Loss: 0.6469
Epoch 2/25... Discriminator Loss: 1.2351... Generator Loss: 0.8661
Epoch 2/25... Discriminator Loss: 0.3949... Generator Loss: 1.7081
Epoch 2/25... Discriminator Loss: 1.5498... Generator Loss: 0.7900
Epoch 2/25... Discriminator Loss: 1.5721... Generator Loss: 0.6319
Epoch 2/25... Discriminator Loss: 1.5284... Generator Loss: 0.6912
Epoch 2/25... Discriminator Loss: 1.3940... Generator Loss: 0.7363
Epoch 2/25... Discriminator Loss: 1.4443... Generator Loss: 0.7059
Epoch 2/25... Discriminator Loss: 1.3349... Generator Loss: 0.7986
Epoch 2/25... Discriminator Loss: 1.3656... Generator Loss: 0.9813
Epoch 2/25... Discriminator Loss: 1.3320... Generator Loss: 0.6208
Epoch 2/25... Discriminator Loss: 1.3602... Generator Loss: 0.6760
Epoch 2/25... Discriminator Loss: 1.3188... Generator Loss: 0.6792
Epoch 2/25... Discriminator Loss: 1.3251... Generator Loss: 0.7023
Epoch 2/25... Discriminator Loss: 1.2454... Generator Loss: 0.8010
Epoch 2/25... Discriminator Loss: 1.1044... Generator Loss: 0.7829
Epoch 2/25... Discriminator Loss: 1.3540... Generator Loss: 0.8039
Epoch 2/25... Discriminator Loss: 1.6872... Generator Loss: 1.3443
Epoch 2/25... Discriminator Loss: 1.3956... Generator Loss: 0.4691
Epoch 2/25... Discriminator Loss: 1.2679... Generator Loss: 0.9227
Epoch 2/25... Discriminator Loss: 1.0820... Generator Loss: 0.7388
Epoch 2/25... Discriminator Loss: 0.8241... Generator Loss: 1.3117
Epoch 2/25... Discriminator Loss: 2.2564... Generator Loss: 0.1702
Epoch 2/25... Discriminator Loss: 1.4631... Generator Loss: 0.7092
Epoch 2/25... Discriminator Loss: 1.4549... Generator Loss: 0.9253
Epoch 2/25... Discriminator Loss: 1.4218... Generator Loss: 0.4847
Epoch 2/25... Discriminator Loss: 1.5186... Generator Loss: 0.5191
Epoch 2/25... Discriminator Loss: 1.3667... Generator Loss: 0.6973
Epoch 2/25... Discriminator Loss: 1.5194... Generator Loss: 0.6144
Epoch 2/25... Discriminator Loss: 1.3923... Generator Loss: 0.6799
Epoch 2/25... Discriminator Loss: 1.5248... Generator Loss: 0.6691
Epoch 2/25... Discriminator Loss: 1.5188... Generator Loss: 0.6322
Epoch 2/25... Discriminator Loss: 1.4837... Generator Loss: 0.6440
Epoch 2/25... Discriminator Loss: 1.4094... Generator Loss: 0.6975
Epoch 2/25... Discriminator Loss: 1.4214... Generator Loss: 0.6624
Epoch 2/25... Discriminator Loss: 1.3850... Generator Loss: 0.7051
Epoch 2/25... Discriminator Loss: 1.4306... Generator Loss: 0.6445
Epoch 2/25... Discriminator Loss: 1.4204... Generator Loss: 0.7173
Epoch 2/25... Discriminator Loss: 1.3903... Generator Loss: 0.6826
Epoch 2/25... Discriminator Loss: 1.4851... Generator Loss: 0.6649
Epoch 2/25... Discriminator Loss: 1.4410... Generator Loss: 0.6640
Epoch 2/25... Discriminator Loss: 1.4211... Generator Loss: 0.7052
Epoch 2/25... Discriminator Loss: 1.4268... Generator Loss: 0.7144
Epoch 2/25... Discriminator Loss: 1.3969... Generator Loss: 0.6832
Epoch 2/25... Discriminator Loss: 1.4264... Generator Loss: 0.6665
Epoch 2/25... Discriminator Loss: 1.4108... Generator Loss: 0.7088
Epoch 2/25... Discriminator Loss: 1.4080... Generator Loss: 0.6828
Epoch 2/25... Discriminator Loss: 1.4117... Generator Loss: 0.6729
Epoch 2/25... Discriminator Loss: 1.4349... Generator Loss: 0.6835
Epoch 2/25... Discriminator Loss: 1.4087... Generator Loss: 0.6868
Epoch 2/25... Discriminator Loss: 1.4357... Generator Loss: 0.6652
Epoch 2/25... Discriminator Loss: 1.3635... Generator Loss: 0.7140
Epoch 2/25... Discriminator Loss: 1.4498... Generator Loss: 0.6805
Epoch 2/25... Discriminator Loss: 1.4205... Generator Loss: 0.6958
Epoch 2/25... Discriminator Loss: 1.4178... Generator Loss: 0.6721
Epoch 2/25... Discriminator Loss: 1.4042... Generator Loss: 0.6863
Epoch 2/25... Discriminator Loss: 1.3984... Generator Loss: 0.7107
Epoch 2/25... Discriminator Loss: 1.3941... Generator Loss: 0.6839
Epoch 2/25... Discriminator Loss: 1.4188... Generator Loss: 0.6862
Epoch 2/25... Discriminator Loss: 1.3902... Generator Loss: 0.6840
Epoch 2/25... Discriminator Loss: 1.4083... Generator Loss: 0.7059
Epoch 2/25... Discriminator Loss: 1.4089... Generator Loss: 0.6674
Epoch 2/25... Discriminator Loss: 1.4259... Generator Loss: 0.6928
Epoch 2/25... Discriminator Loss: 1.3638... Generator Loss: 0.6844
Epoch 2/25... Discriminator Loss: 1.3795... Generator Loss: 0.7200
Epoch 2/25... Discriminator Loss: 1.3956... Generator Loss: 0.6803
Epoch 2/25... Discriminator Loss: 1.4124... Generator Loss: 0.6785
Epoch 2/25... Discriminator Loss: 1.3994... Generator Loss: 0.6841
Epoch 2/25... Discriminator Loss: 1.3985... Generator Loss: 0.7188
Epoch 2/25... Discriminator Loss: 1.3971... Generator Loss: 0.6980
Epoch 2/25... Discriminator Loss: 1.4101... Generator Loss: 0.6770
Epoch 2/25... Discriminator Loss: 1.3964... Generator Loss: 0.6588
Epoch 2/25... Discriminator Loss: 1.4278... Generator Loss: 0.6962
Epoch 2/25... Discriminator Loss: 1.3655... Generator Loss: 0.7229
Epoch 2/25... Discriminator Loss: 1.4302... Generator Loss: 0.6781
Epoch 2/25... Discriminator Loss: 1.3910... Generator Loss: 0.6739
Epoch 2/25... Discriminator Loss: 1.4273... Generator Loss: 0.6921
Epoch 2/25... Discriminator Loss: 1.3733... Generator Loss: 0.7040
Epoch 2/25... Discriminator Loss: 1.3968... Generator Loss: 0.6787
Epoch 2/25... Discriminator Loss: 1.3857... Generator Loss: 0.6942
Epoch 3/25... Discriminator Loss: 1.3913... Generator Loss: 0.6934
Epoch 3/25... Discriminator Loss: 1.3793... Generator Loss: 0.7049
Epoch 3/25... Discriminator Loss: 1.3819... Generator Loss: 0.6720
Epoch 3/25... Discriminator Loss: 1.3841... Generator Loss: 0.7300
Epoch 3/25... Discriminator Loss: 1.4041... Generator Loss: 0.6930
Epoch 3/25... Discriminator Loss: 1.3853... Generator Loss: 0.6926
Epoch 3/25... Discriminator Loss: 1.3885... Generator Loss: 0.7002
Epoch 3/25... Discriminator Loss: 1.3956... Generator Loss: 0.6907
Epoch 3/25... Discriminator Loss: 1.3940... Generator Loss: 0.7056
Epoch 3/25... Discriminator Loss: 1.3781... Generator Loss: 0.7124
Epoch 3/25... Discriminator Loss: 1.4085... Generator Loss: 0.6910
Epoch 3/25... Discriminator Loss: 1.3900... Generator Loss: 0.6898
Epoch 3/25... Discriminator Loss: 1.4113... Generator Loss: 0.6858
Epoch 3/25... Discriminator Loss: 1.4250... Generator Loss: 0.6851
Epoch 3/25... Discriminator Loss: 1.3808... Generator Loss: 0.6860
Epoch 3/25... Discriminator Loss: 1.4189... Generator Loss: 0.6759
Epoch 3/25... Discriminator Loss: 1.4019... Generator Loss: 0.6780
Epoch 3/25... Discriminator Loss: 1.3894... Generator Loss: 0.6773
Epoch 3/25... Discriminator Loss: 1.4333... Generator Loss: 0.7025
Epoch 3/25... Discriminator Loss: 1.3908... Generator Loss: 0.6900
Epoch 3/25... Discriminator Loss: 1.4065... Generator Loss: 0.6862
Epoch 3/25... Discriminator Loss: 1.4032... Generator Loss: 0.6885
Epoch 3/25... Discriminator Loss: 1.3939... Generator Loss: 0.6892
Epoch 3/25... Discriminator Loss: 1.3454... Generator Loss: 0.6940
Epoch 3/25... Discriminator Loss: 1.3950... Generator Loss: 0.6687
Epoch 3/25... Discriminator Loss: 1.3862... Generator Loss: 0.7112
Epoch 3/25... Discriminator Loss: 1.3986... Generator Loss: 0.6532
Epoch 3/25... Discriminator Loss: 1.3995... Generator Loss: 0.6988
Epoch 3/25... Discriminator Loss: 1.4048... Generator Loss: 0.6852
Epoch 3/25... Discriminator Loss: 1.3931... Generator Loss: 0.7073
Epoch 3/25... Discriminator Loss: 1.4182... Generator Loss: 0.6766
Epoch 3/25... Discriminator Loss: 1.3914... Generator Loss: 0.6805
Epoch 3/25... Discriminator Loss: 1.4250... Generator Loss: 0.6874
Epoch 3/25... Discriminator Loss: 1.3699... Generator Loss: 0.7303
Epoch 3/25... Discriminator Loss: 1.3918... Generator Loss: 0.7011
Epoch 3/25... Discriminator Loss: 1.3987... Generator Loss: 0.7033
Epoch 3/25... Discriminator Loss: 1.4000... Generator Loss: 0.7037
Epoch 3/25... Discriminator Loss: 1.4122... Generator Loss: 0.6870
Epoch 3/25... Discriminator Loss: 1.3690... Generator Loss: 0.7010
Epoch 3/25... Discriminator Loss: 1.4173... Generator Loss: 0.6748
Epoch 3/25... Discriminator Loss: 1.3897... Generator Loss: 0.6830
Epoch 3/25... Discriminator Loss: 1.4059... Generator Loss: 0.6795
Epoch 3/25... Discriminator Loss: 1.3841... Generator Loss: 0.6808
Epoch 3/25... Discriminator Loss: 1.3929... Generator Loss: 0.6745
Epoch 3/25... Discriminator Loss: 1.4186... Generator Loss: 0.6508
Epoch 3/25... Discriminator Loss: 1.3775... Generator Loss: 0.6700
Epoch 3/25... Discriminator Loss: 1.3698... Generator Loss: 0.7217
Epoch 3/25... Discriminator Loss: 1.3856... Generator Loss: 0.6824
Epoch 3/25... Discriminator Loss: 1.4036... Generator Loss: 0.7062
Epoch 3/25... Discriminator Loss: 1.3802... Generator Loss: 0.6882
Epoch 3/25... Discriminator Loss: 1.4018... Generator Loss: 0.6809
Epoch 3/25... Discriminator Loss: 1.3934... Generator Loss: 0.6803
Epoch 3/25... Discriminator Loss: 1.4187... Generator Loss: 0.6939
Epoch 3/25... Discriminator Loss: 1.3472... Generator Loss: 0.6986
Epoch 3/25... Discriminator Loss: 1.3670... Generator Loss: 0.6858
Epoch 3/25... Discriminator Loss: 1.3935... Generator Loss: 0.6953
Epoch 3/25... Discriminator Loss: 1.4235... Generator Loss: 0.6791
Epoch 3/25... Discriminator Loss: 1.3876... Generator Loss: 0.7141
Epoch 3/25... Discriminator Loss: 1.4272... Generator Loss: 0.6858
Epoch 3/25... Discriminator Loss: 1.3686... Generator Loss: 0.7336
Epoch 3/25... Discriminator Loss: 1.4004... Generator Loss: 0.6631
Epoch 3/25... Discriminator Loss: 1.3890... Generator Loss: 0.7055
Epoch 3/25... Discriminator Loss: 1.3554... Generator Loss: 0.7117
Epoch 3/25... Discriminator Loss: 1.3670... Generator Loss: 0.7174
Epoch 3/25... Discriminator Loss: 1.4006... Generator Loss: 0.6740
Epoch 3/25... Discriminator Loss: 1.3849... Generator Loss: 0.6855
Epoch 3/25... Discriminator Loss: 1.4097... Generator Loss: 0.6516
Epoch 3/25... Discriminator Loss: 1.4247... Generator Loss: 0.6977
Epoch 3/25... Discriminator Loss: 1.3895... Generator Loss: 0.6703
Epoch 3/25... Discriminator Loss: 1.4010... Generator Loss: 0.6963
Epoch 3/25... Discriminator Loss: 1.4044... Generator Loss: 0.6940
Epoch 3/25... Discriminator Loss: 1.4289... Generator Loss: 0.6916
Epoch 3/25... Discriminator Loss: 1.4001... Generator Loss: 0.6914
Epoch 3/25... Discriminator Loss: 1.4146... Generator Loss: 0.6604
Epoch 3/25... Discriminator Loss: 1.4114... Generator Loss: 0.7029
Epoch 3/25... Discriminator Loss: 1.4036... Generator Loss: 0.6985
Epoch 3/25... Discriminator Loss: 1.4022... Generator Loss: 0.6845
Epoch 3/25... Discriminator Loss: 1.4202... Generator Loss: 0.6709
Epoch 3/25... Discriminator Loss: 1.3631... Generator Loss: 0.7273
Epoch 3/25... Discriminator Loss: 1.4149... Generator Loss: 0.6679
Epoch 3/25... Discriminator Loss: 1.3951... Generator Loss: 0.6980
Epoch 3/25... Discriminator Loss: 1.4354... Generator Loss: 0.6609
Epoch 3/25... Discriminator Loss: 1.4046... Generator Loss: 0.6975
Epoch 3/25... Discriminator Loss: 1.3749... Generator Loss: 0.6831
Epoch 3/25... Discriminator Loss: 1.4135... Generator Loss: 0.6711
Epoch 3/25... Discriminator Loss: 1.3675... Generator Loss: 0.7073
Epoch 3/25... Discriminator Loss: 1.4257... Generator Loss: 0.6601
Epoch 3/25... Discriminator Loss: 1.4145... Generator Loss: 0.6592
Epoch 3/25... Discriminator Loss: 1.3866... Generator Loss: 0.7051
Epoch 3/25... Discriminator Loss: 1.3980... Generator Loss: 0.6973
Epoch 3/25... Discriminator Loss: 1.4186... Generator Loss: 0.6643
Epoch 3/25... Discriminator Loss: 1.3706... Generator Loss: 0.6841
Epoch 3/25... Discriminator Loss: 1.3993... Generator Loss: 0.7011
Epoch 3/25... Discriminator Loss: 1.3843... Generator Loss: 0.6914
Epoch 3/25... Discriminator Loss: 1.4058... Generator Loss: 0.6718
Epoch 3/25... Discriminator Loss: 1.3886... Generator Loss: 0.7161
Epoch 3/25... Discriminator Loss: 1.3900... Generator Loss: 0.6871
Epoch 3/25... Discriminator Loss: 1.3719... Generator Loss: 0.6686
Epoch 3/25... Discriminator Loss: 1.3768... Generator Loss: 0.6761
Epoch 3/25... Discriminator Loss: 1.3826... Generator Loss: 0.7401
Epoch 3/25... Discriminator Loss: 1.3814... Generator Loss: 0.6858
Epoch 3/25... Discriminator Loss: 1.3799... Generator Loss: 0.7139
Epoch 3/25... Discriminator Loss: 1.3858... Generator Loss: 0.6775
Epoch 3/25... Discriminator Loss: 1.3839... Generator Loss: 0.7084
Epoch 3/25... Discriminator Loss: 1.4001... Generator Loss: 0.7147
Epoch 3/25... Discriminator Loss: 1.3979... Generator Loss: 0.6940
Epoch 3/25... Discriminator Loss: 1.4224... Generator Loss: 0.6726
Epoch 3/25... Discriminator Loss: 1.3899... Generator Loss: 0.6948
Epoch 3/25... Discriminator Loss: 1.3906... Generator Loss: 0.6961
Epoch 3/25... Discriminator Loss: 1.4019... Generator Loss: 0.6747
Epoch 3/25... Discriminator Loss: 1.4035... Generator Loss: 0.6929
Epoch 3/25... Discriminator Loss: 1.3770... Generator Loss: 0.7019
Epoch 3/25... Discriminator Loss: 1.3873... Generator Loss: 0.6967
Epoch 3/25... Discriminator Loss: 1.3933... Generator Loss: 0.7004
Epoch 3/25... Discriminator Loss: 1.3691... Generator Loss: 0.6667
Epoch 3/25... Discriminator Loss: 1.4008... Generator Loss: 0.6935
Epoch 3/25... Discriminator Loss: 1.3958... Generator Loss: 0.6995
Epoch 3/25... Discriminator Loss: 1.4011... Generator Loss: 0.6727
Epoch 3/25... Discriminator Loss: 1.4227... Generator Loss: 0.6593
Epoch 3/25... Discriminator Loss: 1.4147... Generator Loss: 0.6856
Epoch 3/25... Discriminator Loss: 1.4107... Generator Loss: 0.6825
Epoch 3/25... Discriminator Loss: 1.3754... Generator Loss: 0.7206
Epoch 3/25... Discriminator Loss: 1.4074... Generator Loss: 0.6773
Epoch 3/25... Discriminator Loss: 1.3708... Generator Loss: 0.6832
Epoch 3/25... Discriminator Loss: 1.4122... Generator Loss: 0.6767
Epoch 3/25... Discriminator Loss: 1.3939... Generator Loss: 0.6990
Epoch 3/25... Discriminator Loss: 1.4216... Generator Loss: 0.6837
Epoch 3/25... Discriminator Loss: 1.4097... Generator Loss: 0.6618
Epoch 3/25... Discriminator Loss: 1.3920... Generator Loss: 0.6820
Epoch 3/25... Discriminator Loss: 1.4020... Generator Loss: 0.6796
Epoch 3/25... Discriminator Loss: 1.4013... Generator Loss: 0.6872
Epoch 3/25... Discriminator Loss: 1.3899... Generator Loss: 0.6927
Epoch 3/25... Discriminator Loss: 1.3933... Generator Loss: 0.6786
Epoch 3/25... Discriminator Loss: 1.4074... Generator Loss: 0.6733
Epoch 3/25... Discriminator Loss: 1.3812... Generator Loss: 0.7102
Epoch 3/25... Discriminator Loss: 1.4063... Generator Loss: 0.7130
Epoch 3/25... Discriminator Loss: 1.3749... Generator Loss: 0.7063
Epoch 3/25... Discriminator Loss: 1.4139... Generator Loss: 0.6739
Epoch 3/25... Discriminator Loss: 1.3948... Generator Loss: 0.6938
Epoch 3/25... Discriminator Loss: 1.3900... Generator Loss: 0.6706
Epoch 3/25... Discriminator Loss: 1.3903... Generator Loss: 0.6929
Epoch 3/25... Discriminator Loss: 1.4015... Generator Loss: 0.6802
Epoch 3/25... Discriminator Loss: 1.4027... Generator Loss: 0.7004
Epoch 3/25... Discriminator Loss: 1.3990... Generator Loss: 0.6791
Epoch 3/25... Discriminator Loss: 1.4030... Generator Loss: 0.6924
Epoch 3/25... Discriminator Loss: 1.4219... Generator Loss: 0.6986
Epoch 3/25... Discriminator Loss: 1.4113... Generator Loss: 0.6893
Epoch 3/25... Discriminator Loss: 1.3622... Generator Loss: 0.6871
Epoch 3/25... Discriminator Loss: 1.4203... Generator Loss: 0.6873
Epoch 3/25... Discriminator Loss: 1.4218... Generator Loss: 0.6600
Epoch 3/25... Discriminator Loss: 1.3830... Generator Loss: 0.6994
Epoch 3/25... Discriminator Loss: 1.4007... Generator Loss: 0.7012
Epoch 3/25... Discriminator Loss: 1.3971... Generator Loss: 0.7115
Epoch 3/25... Discriminator Loss: 1.4196... Generator Loss: 0.6873
Epoch 3/25... Discriminator Loss: 1.3882... Generator Loss: 0.6826
Epoch 3/25... Discriminator Loss: 1.3821... Generator Loss: 0.6957
Epoch 3/25... Discriminator Loss: 1.3818... Generator Loss: 0.6708
Epoch 3/25... Discriminator Loss: 1.4247... Generator Loss: 0.6841
Epoch 4/25... Discriminator Loss: 1.3832... Generator Loss: 0.6928
Epoch 4/25... Discriminator Loss: 1.4021... Generator Loss: 0.6933
Epoch 4/25... Discriminator Loss: 1.4060... Generator Loss: 0.6580
Epoch 4/25... Discriminator Loss: 1.4178... Generator Loss: 0.6918
Epoch 4/25... Discriminator Loss: 1.3937... Generator Loss: 0.6856
Epoch 4/25... Discriminator Loss: 1.3920... Generator Loss: 0.6766
Epoch 4/25... Discriminator Loss: 1.3807... Generator Loss: 0.6820
Epoch 4/25... Discriminator Loss: 1.4051... Generator Loss: 0.6785
Epoch 4/25... Discriminator Loss: 1.4137... Generator Loss: 0.6944
Epoch 4/25... Discriminator Loss: 1.3754... Generator Loss: 0.6719
Epoch 4/25... Discriminator Loss: 1.4186... Generator Loss: 0.6420
Epoch 4/25... Discriminator Loss: 1.4397... Generator Loss: 0.6676
Epoch 4/25... Discriminator Loss: 1.3550... Generator Loss: 0.7440
Epoch 4/25... Discriminator Loss: 1.3896... Generator Loss: 0.6966
Epoch 4/25... Discriminator Loss: 1.4109... Generator Loss: 0.6677
Epoch 4/25... Discriminator Loss: 1.4036... Generator Loss: 0.6845
Epoch 4/25... Discriminator Loss: 1.3846... Generator Loss: 0.6891
Epoch 4/25... Discriminator Loss: 1.4010... Generator Loss: 0.6989
Epoch 4/25... Discriminator Loss: 1.3931... Generator Loss: 0.7231
Epoch 4/25... Discriminator Loss: 1.3776... Generator Loss: 0.6971
Epoch 4/25... Discriminator Loss: 1.3965... Generator Loss: 0.6962
Epoch 4/25... Discriminator Loss: 1.3982... Generator Loss: 0.6723
Epoch 4/25... Discriminator Loss: 1.3929... Generator Loss: 0.7138
Epoch 4/25... Discriminator Loss: 1.4053... Generator Loss: 0.6722
Epoch 4/25... Discriminator Loss: 1.3805... Generator Loss: 0.6708
Epoch 4/25... Discriminator Loss: 1.4151... Generator Loss: 0.7223
Epoch 4/25... Discriminator Loss: 1.3762... Generator Loss: 0.7019
Epoch 4/25... Discriminator Loss: 1.4158... Generator Loss: 0.6484
Epoch 4/25... Discriminator Loss: 1.3915... Generator Loss: 0.7055
Epoch 4/25... Discriminator Loss: 1.3818... Generator Loss: 0.6714
Epoch 4/25... Discriminator Loss: 1.3762... Generator Loss: 0.7422
Epoch 4/25... Discriminator Loss: 1.3963... Generator Loss: 0.6641
Epoch 4/25... Discriminator Loss: 1.3888... Generator Loss: 0.6872
Epoch 4/25... Discriminator Loss: 1.3856... Generator Loss: 0.6784
Epoch 4/25... Discriminator Loss: 1.3823... Generator Loss: 0.6822
Epoch 4/25... Discriminator Loss: 1.3896... Generator Loss: 0.7139
Epoch 4/25... Discriminator Loss: 1.3818... Generator Loss: 0.6896
Epoch 4/25... Discriminator Loss: 1.3965... Generator Loss: 0.6669
Epoch 4/25... Discriminator Loss: 1.4060... Generator Loss: 0.6926
Epoch 4/25... Discriminator Loss: 1.3888... Generator Loss: 0.6856
Epoch 4/25... Discriminator Loss: 1.3977... Generator Loss: 0.6824
Epoch 4/25... Discriminator Loss: 1.3778... Generator Loss: 0.6995
Epoch 4/25... Discriminator Loss: 1.3762... Generator Loss: 0.7039
Epoch 4/25... Discriminator Loss: 1.4043... Generator Loss: 0.6864
Epoch 4/25... Discriminator Loss: 1.3987... Generator Loss: 0.6879
Epoch 4/25... Discriminator Loss: 1.3919... Generator Loss: 0.6951
Epoch 4/25... Discriminator Loss: 1.3919... Generator Loss: 0.6926
Epoch 4/25... Discriminator Loss: 1.3767... Generator Loss: 0.6842
Epoch 4/25... Discriminator Loss: 1.3813... Generator Loss: 0.7190
Epoch 4/25... Discriminator Loss: 1.3855... Generator Loss: 0.6798
Epoch 4/25... Discriminator Loss: 1.3860... Generator Loss: 0.6906
Epoch 4/25... Discriminator Loss: 1.4004... Generator Loss: 0.6956
Epoch 4/25... Discriminator Loss: 1.3956... Generator Loss: 0.6952
Epoch 4/25... Discriminator Loss: 1.3700... Generator Loss: 0.6782
Epoch 4/25... Discriminator Loss: 1.3967... Generator Loss: 0.6925
Epoch 4/25... Discriminator Loss: 1.4066... Generator Loss: 0.6953
Epoch 4/25... Discriminator Loss: 1.3887... Generator Loss: 0.6983
Epoch 4/25... Discriminator Loss: 1.4075... Generator Loss: 0.6842
Epoch 4/25... Discriminator Loss: 1.4056... Generator Loss: 0.6815
Epoch 4/25... Discriminator Loss: 1.3992... Generator Loss: 0.6799
Epoch 4/25... Discriminator Loss: 1.4004... Generator Loss: 0.6715
Epoch 4/25... Discriminator Loss: 1.4052... Generator Loss: 0.7268
Epoch 4/25... Discriminator Loss: 1.3733... Generator Loss: 0.6823
Epoch 4/25... Discriminator Loss: 1.4023... Generator Loss: 0.7036
Epoch 4/25... Discriminator Loss: 1.3971... Generator Loss: 0.6713
Epoch 4/25... Discriminator Loss: 1.3985... Generator Loss: 0.6951
Epoch 4/25... Discriminator Loss: 1.4228... Generator Loss: 0.6961
Epoch 4/25... Discriminator Loss: 1.3948... Generator Loss: 0.6718
Epoch 4/25... Discriminator Loss: 1.3978... Generator Loss: 0.7109
Epoch 4/25... Discriminator Loss: 1.3629... Generator Loss: 0.6811
Epoch 4/25... Discriminator Loss: 1.4117... Generator Loss: 0.6917
Epoch 4/25... Discriminator Loss: 1.4081... Generator Loss: 0.6607
Epoch 4/25... Discriminator Loss: 1.3902... Generator Loss: 0.7270
Epoch 4/25... Discriminator Loss: 1.3688... Generator Loss: 0.7059
Epoch 4/25... Discriminator Loss: 1.4057... Generator Loss: 0.7087
Epoch 4/25... Discriminator Loss: 1.3953... Generator Loss: 0.6953
Epoch 4/25... Discriminator Loss: 1.4073... Generator Loss: 0.6985
Epoch 4/25... Discriminator Loss: 1.3858... Generator Loss: 0.6603
Epoch 4/25... Discriminator Loss: 1.4042... Generator Loss: 0.6739
Epoch 4/25... Discriminator Loss: 1.4044... Generator Loss: 0.6835
Epoch 4/25... Discriminator Loss: 1.3957... Generator Loss: 0.6578
Epoch 4/25... Discriminator Loss: 1.3849... Generator Loss: 0.7082
Epoch 4/25... Discriminator Loss: 1.3895... Generator Loss: 0.6940
Epoch 4/25... Discriminator Loss: 1.4122... Generator Loss: 0.7094
Epoch 4/25... Discriminator Loss: 1.3973... Generator Loss: 0.6497
Epoch 4/25... Discriminator Loss: 1.3870... Generator Loss: 0.6971
Epoch 4/25... Discriminator Loss: 1.3967... Generator Loss: 0.6827
Epoch 4/25... Discriminator Loss: 1.4135... Generator Loss: 0.6871
Epoch 4/25... Discriminator Loss: 1.3962... Generator Loss: 0.6960
Epoch 4/25... Discriminator Loss: 1.3891... Generator Loss: 0.6913
Epoch 4/25... Discriminator Loss: 1.4062... Generator Loss: 0.6882
Epoch 4/25... Discriminator Loss: 1.4013... Generator Loss: 0.7033
Epoch 4/25... Discriminator Loss: 1.3918... Generator Loss: 0.6718
Epoch 4/25... Discriminator Loss: 1.3893... Generator Loss: 0.7040
Epoch 4/25... Discriminator Loss: 1.4040... Generator Loss: 0.6991
Epoch 4/25... Discriminator Loss: 1.3995... Generator Loss: 0.7019
Epoch 4/25... Discriminator Loss: 1.3592... Generator Loss: 0.6810
Epoch 4/25... Discriminator Loss: 1.4115... Generator Loss: 0.7104
Epoch 4/25... Discriminator Loss: 1.4008... Generator Loss: 0.6764
Epoch 4/25... Discriminator Loss: 1.3917... Generator Loss: 0.7151
Epoch 4/25... Discriminator Loss: 1.3890... Generator Loss: 0.6410
Epoch 4/25... Discriminator Loss: 1.3866... Generator Loss: 0.7181
Epoch 4/25... Discriminator Loss: 1.3905... Generator Loss: 0.6672
Epoch 4/25... Discriminator Loss: 1.3847... Generator Loss: 0.7385
Epoch 4/25... Discriminator Loss: 1.3892... Generator Loss: 0.6460
Epoch 4/25... Discriminator Loss: 1.4205... Generator Loss: 0.6886
Epoch 4/25... Discriminator Loss: 1.3869... Generator Loss: 0.6708
Epoch 4/25... Discriminator Loss: 1.4006... Generator Loss: 0.6951
Epoch 4/25... Discriminator Loss: 1.4116... Generator Loss: 0.6748
Epoch 4/25... Discriminator Loss: 1.4132... Generator Loss: 0.7044
Epoch 4/25... Discriminator Loss: 1.3888... Generator Loss: 0.6915
Epoch 4/25... Discriminator Loss: 1.3942... Generator Loss: 0.6948
Epoch 4/25... Discriminator Loss: 1.4073... Generator Loss: 0.6817
Epoch 4/25... Discriminator Loss: 1.3923... Generator Loss: 0.7125
Epoch 4/25... Discriminator Loss: 1.3929... Generator Loss: 0.7127
Epoch 4/25... Discriminator Loss: 1.3857... Generator Loss: 0.6986
Epoch 4/25... Discriminator Loss: 1.3865... Generator Loss: 0.7185
Epoch 4/25... Discriminator Loss: 1.3893... Generator Loss: 0.6375
Epoch 4/25... Discriminator Loss: 1.3828... Generator Loss: 0.7284
Epoch 4/25... Discriminator Loss: 1.3862... Generator Loss: 0.6755
Epoch 4/25... Discriminator Loss: 1.3801... Generator Loss: 0.6970
Epoch 4/25... Discriminator Loss: 1.3963... Generator Loss: 0.6842
Epoch 4/25... Discriminator Loss: 1.3812... Generator Loss: 0.6893
Epoch 4/25... Discriminator Loss: 1.4035... Generator Loss: 0.6929
Epoch 4/25... Discriminator Loss: 1.3938... Generator Loss: 0.6659
Epoch 4/25... Discriminator Loss: 1.3930... Generator Loss: 0.6882
Epoch 4/25... Discriminator Loss: 1.3948... Generator Loss: 0.6752
Epoch 4/25... Discriminator Loss: 1.3883... Generator Loss: 0.7187
Epoch 4/25... Discriminator Loss: 1.3947... Generator Loss: 0.7337
Epoch 4/25... Discriminator Loss: 1.3871... Generator Loss: 0.6915
Epoch 4/25... Discriminator Loss: 1.3894... Generator Loss: 0.6763
Epoch 4/25... Discriminator Loss: 1.4044... Generator Loss: 0.6967
Epoch 4/25... Discriminator Loss: 1.4087... Generator Loss: 0.6939
Epoch 4/25... Discriminator Loss: 1.4101... Generator Loss: 0.6807
Epoch 4/25... Discriminator Loss: 1.4011... Generator Loss: 0.6741
Epoch 4/25... Discriminator Loss: 1.3940... Generator Loss: 0.6634
Epoch 4/25... Discriminator Loss: 1.3829... Generator Loss: 0.6922
Epoch 4/25... Discriminator Loss: 1.4098... Generator Loss: 0.6876
Epoch 4/25... Discriminator Loss: 1.3739... Generator Loss: 0.7160
Epoch 4/25... Discriminator Loss: 1.3854... Generator Loss: 0.7059
Epoch 4/25... Discriminator Loss: 1.3918... Generator Loss: 0.6871
Epoch 4/25... Discriminator Loss: 1.4106... Generator Loss: 0.6628
Epoch 4/25... Discriminator Loss: 1.3908... Generator Loss: 0.6856
Epoch 4/25... Discriminator Loss: 1.3720... Generator Loss: 0.6888
Epoch 4/25... Discriminator Loss: 1.4065... Generator Loss: 0.6611
Epoch 4/25... Discriminator Loss: 1.3822... Generator Loss: 0.6709
Epoch 4/25... Discriminator Loss: 1.3998... Generator Loss: 0.7275
Epoch 4/25... Discriminator Loss: 1.3960... Generator Loss: 0.6746
Epoch 4/25... Discriminator Loss: 1.4135... Generator Loss: 0.7127
Epoch 4/25... Discriminator Loss: 1.4290... Generator Loss: 0.6600
Epoch 4/25... Discriminator Loss: 1.3812... Generator Loss: 0.6804
Epoch 4/25... Discriminator Loss: 1.3815... Generator Loss: 0.6765
Epoch 4/25... Discriminator Loss: 1.4197... Generator Loss: 0.7019
Epoch 4/25... Discriminator Loss: 1.3583... Generator Loss: 0.6864
Epoch 4/25... Discriminator Loss: 1.4048... Generator Loss: 0.7030
Epoch 4/25... Discriminator Loss: 1.3892... Generator Loss: 0.6523
Epoch 4/25... Discriminator Loss: 1.4080... Generator Loss: 0.6894
Epoch 4/25... Discriminator Loss: 1.3930... Generator Loss: 0.7003
Epoch 5/25... Discriminator Loss: 1.3849... Generator Loss: 0.6858
Epoch 5/25... Discriminator Loss: 1.3972... Generator Loss: 0.7052
Epoch 5/25... Discriminator Loss: 1.4176... Generator Loss: 0.6284
Epoch 5/25... Discriminator Loss: 1.3875... Generator Loss: 0.7123
Epoch 5/25... Discriminator Loss: 1.4130... Generator Loss: 0.6688
Epoch 5/25... Discriminator Loss: 1.3686... Generator Loss: 0.6881
Epoch 5/25... Discriminator Loss: 1.3878... Generator Loss: 0.7308
Epoch 5/25... Discriminator Loss: 1.3835... Generator Loss: 0.7070
Epoch 5/25... Discriminator Loss: 1.4122... Generator Loss: 0.6288
Epoch 5/25... Discriminator Loss: 1.3722... Generator Loss: 0.7058
Epoch 5/25... Discriminator Loss: 1.3970... Generator Loss: 0.6889
Epoch 5/25... Discriminator Loss: 1.3903... Generator Loss: 0.7287
Epoch 5/25... Discriminator Loss: 1.4075... Generator Loss: 0.6537
Epoch 5/25... Discriminator Loss: 1.4248... Generator Loss: 0.6899
Epoch 5/25... Discriminator Loss: 1.3981... Generator Loss: 0.6734
Epoch 5/25... Discriminator Loss: 1.3829... Generator Loss: 0.7256
Epoch 5/25... Discriminator Loss: 1.4040... Generator Loss: 0.6732
Epoch 5/25... Discriminator Loss: 1.4252... Generator Loss: 0.6394
Epoch 5/25... Discriminator Loss: 1.4036... Generator Loss: 0.6765
Epoch 5/25... Discriminator Loss: 1.3992... Generator Loss: 0.6939
Epoch 5/25... Discriminator Loss: 1.4387... Generator Loss: 0.6410
Epoch 5/25... Discriminator Loss: 1.3749... Generator Loss: 0.6807
Epoch 5/25... Discriminator Loss: 1.4055... Generator Loss: 0.6326
Epoch 5/25... Discriminator Loss: 1.4068... Generator Loss: 0.6799
Epoch 5/25... Discriminator Loss: 1.3866... Generator Loss: 0.6872
Epoch 5/25... Discriminator Loss: 1.4047... Generator Loss: 0.6513
Epoch 5/25... Discriminator Loss: 1.4080... Generator Loss: 0.6844
Epoch 5/25... Discriminator Loss: 1.4029... Generator Loss: 0.7072
Epoch 5/25... Discriminator Loss: 1.3723... Generator Loss: 0.6760
Epoch 5/25... Discriminator Loss: 1.4076... Generator Loss: 0.6665
Epoch 5/25... Discriminator Loss: 1.4243... Generator Loss: 0.7291
Epoch 5/25... Discriminator Loss: 1.4364... Generator Loss: 0.6816
Epoch 5/25... Discriminator Loss: 1.3691... Generator Loss: 0.6951
Epoch 5/25... Discriminator Loss: 1.4067... Generator Loss: 0.7125
Epoch 5/25... Discriminator Loss: 1.3718... Generator Loss: 0.6497
Epoch 5/25... Discriminator Loss: 1.4039... Generator Loss: 0.6931
Epoch 5/25... Discriminator Loss: 1.3796... Generator Loss: 0.6989
Epoch 5/25... Discriminator Loss: 1.3924... Generator Loss: 0.7085
Epoch 5/25... Discriminator Loss: 1.3853... Generator Loss: 0.6953
Epoch 5/25... Discriminator Loss: 1.3759... Generator Loss: 0.6902
Epoch 5/25... Discriminator Loss: 1.4092... Generator Loss: 0.7061
Epoch 5/25... Discriminator Loss: 1.3693... Generator Loss: 0.6453
Epoch 5/25... Discriminator Loss: 1.4206... Generator Loss: 0.6953
Epoch 5/25... Discriminator Loss: 1.3941... Generator Loss: 0.6821
Epoch 5/25... Discriminator Loss: 1.3812... Generator Loss: 0.7536
Epoch 5/25... Discriminator Loss: 1.3963... Generator Loss: 0.6458
Epoch 5/25... Discriminator Loss: 1.3816... Generator Loss: 0.6973
Epoch 5/25... Discriminator Loss: 1.4100... Generator Loss: 0.6685
Epoch 5/25... Discriminator Loss: 1.3984... Generator Loss: 0.7106
Epoch 5/25... Discriminator Loss: 1.3892... Generator Loss: 0.6834
Epoch 5/25... Discriminator Loss: 1.4327... Generator Loss: 0.6914
Epoch 5/25... Discriminator Loss: 1.3687... Generator Loss: 0.6893
Epoch 5/25... Discriminator Loss: 1.4086... Generator Loss: 0.6832
Epoch 5/25... Discriminator Loss: 1.3717... Generator Loss: 0.6827
Epoch 5/25... Discriminator Loss: 1.3894... Generator Loss: 0.6748
Epoch 5/25... Discriminator Loss: 1.3817... Generator Loss: 0.6876
Epoch 5/25... Discriminator Loss: 1.3863... Generator Loss: 0.6601
Epoch 5/25... Discriminator Loss: 1.3897... Generator Loss: 0.7166
Epoch 5/25... Discriminator Loss: 1.3998... Generator Loss: 0.7031
Epoch 5/25... Discriminator Loss: 1.3867... Generator Loss: 0.6677
Epoch 5/25... Discriminator Loss: 1.4046... Generator Loss: 0.6581
Epoch 5/25... Discriminator Loss: 1.3952... Generator Loss: 0.6811
Epoch 5/25... Discriminator Loss: 1.4055... Generator Loss: 0.6968
Epoch 5/25... Discriminator Loss: 1.3749... Generator Loss: 0.6747
Epoch 5/25... Discriminator Loss: 1.4231... Generator Loss: 0.6814
Epoch 5/25... Discriminator Loss: 1.3927... Generator Loss: 0.7009
Epoch 5/25... Discriminator Loss: 1.3989... Generator Loss: 0.6791
Epoch 5/25... Discriminator Loss: 1.3783... Generator Loss: 0.7025
Epoch 5/25... Discriminator Loss: 1.3967... Generator Loss: 0.7072
Epoch 5/25... Discriminator Loss: 1.3900... Generator Loss: 0.7239
Epoch 5/25... Discriminator Loss: 1.3905... Generator Loss: 0.6395
Epoch 5/25... Discriminator Loss: 1.3877... Generator Loss: 0.7310
Epoch 5/25... Discriminator Loss: 1.3911... Generator Loss: 0.6617
Epoch 5/25... Discriminator Loss: 1.3788... Generator Loss: 0.7079
Epoch 5/25... Discriminator Loss: 1.3865... Generator Loss: 0.6808
Epoch 5/25... Discriminator Loss: 1.3894... Generator Loss: 0.7100
Epoch 5/25... Discriminator Loss: 1.3903... Generator Loss: 0.6768
Epoch 5/25... Discriminator Loss: 1.3916... Generator Loss: 0.6950
Epoch 5/25... Discriminator Loss: 1.3822... Generator Loss: 0.6569
Epoch 5/25... Discriminator Loss: 1.3957... Generator Loss: 0.6953
Epoch 5/25... Discriminator Loss: 1.3805... Generator Loss: 0.6622
Epoch 5/25... Discriminator Loss: 1.3772... Generator Loss: 0.6772
Epoch 5/25... Discriminator Loss: 1.3863... Generator Loss: 0.6723
Epoch 5/25... Discriminator Loss: 1.3893... Generator Loss: 0.7060
Epoch 5/25... Discriminator Loss: 1.3887... Generator Loss: 0.7062
Epoch 5/25... Discriminator Loss: 1.3951... Generator Loss: 0.6858
Epoch 5/25... Discriminator Loss: 1.3870... Generator Loss: 0.7008
Epoch 5/25... Discriminator Loss: 1.3844... Generator Loss: 0.6616
Epoch 5/25... Discriminator Loss: 1.3941... Generator Loss: 0.7197
Epoch 5/25... Discriminator Loss: 1.3847... Generator Loss: 0.6813
Epoch 5/25... Discriminator Loss: 1.3854... Generator Loss: 0.7050
Epoch 5/25... Discriminator Loss: 1.4041... Generator Loss: 0.7035
Epoch 5/25... Discriminator Loss: 1.3900... Generator Loss: 0.7030
Epoch 5/25... Discriminator Loss: 1.3969... Generator Loss: 0.6926
Epoch 5/25... Discriminator Loss: 1.3834... Generator Loss: 0.6733
Epoch 5/25... Discriminator Loss: 1.3861... Generator Loss: 0.7035
Epoch 5/25... Discriminator Loss: 1.3826... Generator Loss: 0.6700
Epoch 5/25... Discriminator Loss: 1.3766... Generator Loss: 0.7496
Epoch 5/25... Discriminator Loss: 1.3941... Generator Loss: 0.6474
Epoch 5/25... Discriminator Loss: 1.3845... Generator Loss: 0.7259
Epoch 5/25... Discriminator Loss: 1.3813... Generator Loss: 0.6571
Epoch 5/25... Discriminator Loss: 1.3928... Generator Loss: 0.7226
Epoch 5/25... Discriminator Loss: 1.3877... Generator Loss: 0.6894
Epoch 5/25... Discriminator Loss: 1.3953... Generator Loss: 0.6455
Epoch 5/25... Discriminator Loss: 1.3928... Generator Loss: 0.7103
Epoch 5/25... Discriminator Loss: 1.3845... Generator Loss: 0.6933
Epoch 5/25... Discriminator Loss: 1.3970... Generator Loss: 0.6895
Epoch 5/25... Discriminator Loss: 1.3843... Generator Loss: 0.7010
Epoch 5/25... Discriminator Loss: 1.3771... Generator Loss: 0.6586
Epoch 5/25... Discriminator Loss: 1.3910... Generator Loss: 0.7060
Epoch 5/25... Discriminator Loss: 1.3857... Generator Loss: 0.6955
Epoch 5/25... Discriminator Loss: 1.3936... Generator Loss: 0.6727
Epoch 5/25... Discriminator Loss: 1.3847... Generator Loss: 0.6791
Epoch 5/25... Discriminator Loss: 1.3895... Generator Loss: 0.7074
Epoch 5/25... Discriminator Loss: 1.3908... Generator Loss: 0.6715
Epoch 5/25... Discriminator Loss: 1.3857... Generator Loss: 0.7168
Epoch 5/25... Discriminator Loss: 1.3839... Generator Loss: 0.6910
Epoch 5/25... Discriminator Loss: 1.3915... Generator Loss: 0.7089
Epoch 5/25... Discriminator Loss: 1.3822... Generator Loss: 0.7000
Epoch 5/25... Discriminator Loss: 1.3971... Generator Loss: 0.6963
Epoch 5/25... Discriminator Loss: 1.3717... Generator Loss: 0.6662
Epoch 5/25... Discriminator Loss: 1.4003... Generator Loss: 0.6968
Epoch 5/25... Discriminator Loss: 1.3744... Generator Loss: 0.6819
Epoch 5/25... Discriminator Loss: 1.3945... Generator Loss: 0.7274
Epoch 5/25... Discriminator Loss: 1.3856... Generator Loss: 0.6734
Epoch 5/25... Discriminator Loss: 1.3872... Generator Loss: 0.7335
Epoch 5/25... Discriminator Loss: 1.3918... Generator Loss: 0.6426
Epoch 5/25... Discriminator Loss: 1.3811... Generator Loss: 0.7231
Epoch 5/25... Discriminator Loss: 1.3910... Generator Loss: 0.6959
Epoch 5/25... Discriminator Loss: 1.3882... Generator Loss: 0.6772
Epoch 5/25... Discriminator Loss: 1.3845... Generator Loss: 0.6822
Epoch 5/25... Discriminator Loss: 1.3829... Generator Loss: 0.6563
Epoch 5/25... Discriminator Loss: 1.3956... Generator Loss: 0.6650
Epoch 5/25... Discriminator Loss: 1.3864... Generator Loss: 0.6756
Epoch 5/25... Discriminator Loss: 1.4015... Generator Loss: 0.7113
Epoch 5/25... Discriminator Loss: 1.3768... Generator Loss: 0.6880
Epoch 5/25... Discriminator Loss: 1.3888... Generator Loss: 0.6958
Epoch 5/25... Discriminator Loss: 1.3854... Generator Loss: 0.7107
Epoch 5/25... Discriminator Loss: 1.3815... Generator Loss: 0.7126
Epoch 5/25... Discriminator Loss: 1.3769... Generator Loss: 0.6519
Epoch 5/25... Discriminator Loss: 1.3955... Generator Loss: 0.7044
Epoch 5/25... Discriminator Loss: 1.3810... Generator Loss: 0.6598
Epoch 5/25... Discriminator Loss: 1.3860... Generator Loss: 0.7156
Epoch 5/25... Discriminator Loss: 1.3873... Generator Loss: 0.7104
Epoch 5/25... Discriminator Loss: 1.3931... Generator Loss: 0.6520
Epoch 5/25... Discriminator Loss: 1.3903... Generator Loss: 0.7213
Epoch 5/25... Discriminator Loss: 1.3770... Generator Loss: 0.6526
Epoch 5/25... Discriminator Loss: 1.3933... Generator Loss: 0.7464
Epoch 5/25... Discriminator Loss: 1.3782... Generator Loss: 0.6805
Epoch 5/25... Discriminator Loss: 1.3888... Generator Loss: 0.6746
Epoch 5/25... Discriminator Loss: 1.3865... Generator Loss: 0.6921
Epoch 5/25... Discriminator Loss: 1.3865... Generator Loss: 0.7195
Epoch 5/25... Discriminator Loss: 1.3774... Generator Loss: 0.6730
Epoch 5/25... Discriminator Loss: 1.3838... Generator Loss: 0.7149
Epoch 5/25... Discriminator Loss: 1.3871... Generator Loss: 0.6482
Epoch 5/25... Discriminator Loss: 1.3815... Generator Loss: 0.7279
Epoch 5/25... Discriminator Loss: 1.3800... Generator Loss: 0.6788
Epoch 5/25... Discriminator Loss: 1.3845... Generator Loss: 0.7117
Epoch 5/25... Discriminator Loss: 1.3775... Generator Loss: 0.6793
Epoch 6/25... Discriminator Loss: 1.3858... Generator Loss: 0.6910
Epoch 6/25... Discriminator Loss: 1.3843... Generator Loss: 0.6793
Epoch 6/25... Discriminator Loss: 1.3791... Generator Loss: 0.7021
Epoch 6/25... Discriminator Loss: 1.3927... Generator Loss: 0.6815
Epoch 6/25... Discriminator Loss: 1.3914... Generator Loss: 0.6958
Epoch 6/25... Discriminator Loss: 1.3817... Generator Loss: 0.6721
Epoch 6/25... Discriminator Loss: 1.3900... Generator Loss: 0.7155
Epoch 6/25... Discriminator Loss: 1.3928... Generator Loss: 0.6937
Epoch 6/25... Discriminator Loss: 1.3846... Generator Loss: 0.6713
Epoch 6/25... Discriminator Loss: 1.3948... Generator Loss: 0.7075
Epoch 6/25... Discriminator Loss: 1.3947... Generator Loss: 0.6662
Epoch 6/25... Discriminator Loss: 1.3926... Generator Loss: 0.6936
Epoch 6/25... Discriminator Loss: 1.3838... Generator Loss: 0.7282
Epoch 6/25... Discriminator Loss: 1.3847... Generator Loss: 0.6632
Epoch 6/25... Discriminator Loss: 1.3841... Generator Loss: 0.7387
Epoch 6/25... Discriminator Loss: 1.3814... Generator Loss: 0.6692
Epoch 6/25... Discriminator Loss: 1.3915... Generator Loss: 0.7183
Epoch 6/25... Discriminator Loss: 1.3855... Generator Loss: 0.6842
Epoch 6/25... Discriminator Loss: 1.3894... Generator Loss: 0.7122
Epoch 6/25... Discriminator Loss: 1.3904... Generator Loss: 0.6702
Epoch 6/25... Discriminator Loss: 1.3897... Generator Loss: 0.7259
Epoch 6/25... Discriminator Loss: 1.3992... Generator Loss: 0.6493
Epoch 6/25... Discriminator Loss: 1.3878... Generator Loss: 0.7296
Epoch 6/25... Discriminator Loss: 1.3872... Generator Loss: 0.6852
Epoch 6/25... Discriminator Loss: 1.3990... Generator Loss: 0.6682
Epoch 6/25... Discriminator Loss: 1.4008... Generator Loss: 0.7029
Epoch 6/25... Discriminator Loss: 1.3900... Generator Loss: 0.6690
Epoch 6/25... Discriminator Loss: 1.3868... Generator Loss: 0.7360
Epoch 6/25... Discriminator Loss: 1.3929... Generator Loss: 0.6575
Epoch 6/25... Discriminator Loss: 1.3771... Generator Loss: 0.7354
Epoch 6/25... Discriminator Loss: 1.3803... Generator Loss: 0.6737
Epoch 6/25... Discriminator Loss: 1.4014... Generator Loss: 0.6795
Epoch 6/25... Discriminator Loss: 1.3860... Generator Loss: 0.6982
Epoch 6/25... Discriminator Loss: 1.3982... Generator Loss: 0.6689
Epoch 6/25... Discriminator Loss: 1.3889... Generator Loss: 0.7230
Epoch 6/25... Discriminator Loss: 1.3831... Generator Loss: 0.6869
Epoch 6/25... Discriminator Loss: 1.3878... Generator Loss: 0.6883
Epoch 6/25... Discriminator Loss: 1.3887... Generator Loss: 0.6815
Epoch 6/25... Discriminator Loss: 1.3887... Generator Loss: 0.6876
Epoch 6/25... Discriminator Loss: 1.3871... Generator Loss: 0.6961
Epoch 6/25... Discriminator Loss: 1.3833... Generator Loss: 0.6974
Epoch 6/25... Discriminator Loss: 1.3889... Generator Loss: 0.6867
Epoch 6/25... Discriminator Loss: 1.3886... Generator Loss: 0.7073
Epoch 6/25... Discriminator Loss: 1.3899... Generator Loss: 0.6816
Epoch 6/25... Discriminator Loss: 1.3824... Generator Loss: 0.6660
Epoch 6/25... Discriminator Loss: 1.3922... Generator Loss: 0.7086
Epoch 6/25... Discriminator Loss: 1.3825... Generator Loss: 0.6744
Epoch 6/25... Discriminator Loss: 1.3790... Generator Loss: 0.7090
Epoch 6/25... Discriminator Loss: 1.3910... Generator Loss: 0.6928
Epoch 6/25... Discriminator Loss: 1.3923... Generator Loss: 0.6652
Epoch 6/25... Discriminator Loss: 1.3980... Generator Loss: 0.7149
Epoch 6/25... Discriminator Loss: 1.3960... Generator Loss: 0.6685
Epoch 6/25... Discriminator Loss: 1.3848... Generator Loss: 0.7204
Epoch 6/25... Discriminator Loss: 1.3866... Generator Loss: 0.6852
Epoch 6/25... Discriminator Loss: 1.3860... Generator Loss: 0.7082
Epoch 6/25... Discriminator Loss: 1.3841... Generator Loss: 0.6915
Epoch 6/25... Discriminator Loss: 1.3877... Generator Loss: 0.6871
Epoch 6/25... Discriminator Loss: 1.3843... Generator Loss: 0.6957
Epoch 6/25... Discriminator Loss: 1.3835... Generator Loss: 0.6671
Epoch 6/25... Discriminator Loss: 1.3841... Generator Loss: 0.7158
Epoch 6/25... Discriminator Loss: 1.3815... Generator Loss: 0.6803
Epoch 6/25... Discriminator Loss: 1.3863... Generator Loss: 0.6950
Epoch 6/25... Discriminator Loss: 1.3867... Generator Loss: 0.7173
Epoch 6/25... Discriminator Loss: 1.3805... Generator Loss: 0.6799
Epoch 6/25... Discriminator Loss: 1.3873... Generator Loss: 0.6990
Epoch 6/25... Discriminator Loss: 1.3851... Generator Loss: 0.6812
Epoch 6/25... Discriminator Loss: 1.3869... Generator Loss: 0.6864
Epoch 6/25... Discriminator Loss: 1.3929... Generator Loss: 0.7102
Epoch 6/25... Discriminator Loss: 1.3767... Generator Loss: 0.6882
Epoch 6/25... Discriminator Loss: 1.3924... Generator Loss: 0.6812
Epoch 6/25... Discriminator Loss: 1.3873... Generator Loss: 0.7083
Epoch 6/25... Discriminator Loss: 1.3878... Generator Loss: 0.6819
Epoch 6/25... Discriminator Loss: 1.3801... Generator Loss: 0.7062
Epoch 6/25... Discriminator Loss: 1.3850... Generator Loss: 0.6925
Epoch 6/25... Discriminator Loss: 1.3911... Generator Loss: 0.6817
Epoch 6/25... Discriminator Loss: 1.3844... Generator Loss: 0.7160
Epoch 6/25... Discriminator Loss: 1.3747... Generator Loss: 0.6939
Epoch 6/25... Discriminator Loss: 1.3895... Generator Loss: 0.6660
Epoch 6/25... Discriminator Loss: 1.3949... Generator Loss: 0.6969
Epoch 6/25... Discriminator Loss: 1.3767... Generator Loss: 0.6808
Epoch 6/25... Discriminator Loss: 1.3870... Generator Loss: 0.7089
Epoch 6/25... Discriminator Loss: 1.3862... Generator Loss: 0.6847
Epoch 6/25... Discriminator Loss: 1.3865... Generator Loss: 0.6936
Epoch 6/25... Discriminator Loss: 1.3873... Generator Loss: 0.6899
Epoch 6/25... Discriminator Loss: 1.3854... Generator Loss: 0.6998
Epoch 6/25... Discriminator Loss: 1.3887... Generator Loss: 0.6926
Epoch 6/25... Discriminator Loss: 1.3862... Generator Loss: 0.6941
Epoch 6/25... Discriminator Loss: 1.3858... Generator Loss: 0.7017
Epoch 6/25... Discriminator Loss: 1.3910... Generator Loss: 0.6784
Epoch 6/25... Discriminator Loss: 1.3997... Generator Loss: 0.7006
Epoch 6/25... Discriminator Loss: 1.3891... Generator Loss: 0.6785
Epoch 6/25... Discriminator Loss: 1.3880... Generator Loss: 0.7107
Epoch 6/25... Discriminator Loss: 1.3862... Generator Loss: 0.6853
Epoch 6/25... Discriminator Loss: 1.3863... Generator Loss: 0.6898
Epoch 6/25... Discriminator Loss: 1.3878... Generator Loss: 0.7054
Epoch 6/25... Discriminator Loss: 1.3837... Generator Loss: 0.6856
Epoch 6/25... Discriminator Loss: 1.3902... Generator Loss: 0.6828
Epoch 6/25... Discriminator Loss: 1.3862... Generator Loss: 0.6933
Epoch 6/25... Discriminator Loss: 1.3820... Generator Loss: 0.6934
Epoch 6/25... Discriminator Loss: 1.3954... Generator Loss: 0.7057
Epoch 6/25... Discriminator Loss: 1.3949... Generator Loss: 0.6657
Epoch 6/25... Discriminator Loss: 1.3909... Generator Loss: 0.6992
Epoch 6/25... Discriminator Loss: 1.3798... Generator Loss: 0.6847
Epoch 6/25... Discriminator Loss: 1.3922... Generator Loss: 0.7077
Epoch 6/25... Discriminator Loss: 1.3873... Generator Loss: 0.6935
Epoch 6/25... Discriminator Loss: 1.3865... Generator Loss: 0.6896
Epoch 6/25... Discriminator Loss: 1.3877... Generator Loss: 0.7008
Epoch 6/25... Discriminator Loss: 1.3867... Generator Loss: 0.6977
Epoch 6/25... Discriminator Loss: 1.3871... Generator Loss: 0.6812
Epoch 6/25... Discriminator Loss: 1.3872... Generator Loss: 0.6977
Epoch 6/25... Discriminator Loss: 1.3844... Generator Loss: 0.6910
Epoch 6/25... Discriminator Loss: 1.3871... Generator Loss: 0.6943
Epoch 6/25... Discriminator Loss: 1.3847... Generator Loss: 0.6949
Epoch 6/25... Discriminator Loss: 1.3847... Generator Loss: 0.6842
Epoch 6/25... Discriminator Loss: 1.3841... Generator Loss: 0.7079
Epoch 6/25... Discriminator Loss: 1.3826... Generator Loss: 0.6925
Epoch 6/25... Discriminator Loss: 1.3857... Generator Loss: 0.6904
Epoch 6/25... Discriminator Loss: 1.3839... Generator Loss: 0.6871
Epoch 6/25... Discriminator Loss: 1.3866... Generator Loss: 0.6901
Epoch 6/25... Discriminator Loss: 1.3858... Generator Loss: 0.6992
Epoch 6/25... Discriminator Loss: 1.3850... Generator Loss: 0.6864
Epoch 6/25... Discriminator Loss: 1.3882... Generator Loss: 0.6925
Epoch 6/25... Discriminator Loss: 1.3889... Generator Loss: 0.6916
Epoch 6/25... Discriminator Loss: 1.3900... Generator Loss: 0.6644
Epoch 6/25... Discriminator Loss: 1.3912... Generator Loss: 0.7058
Epoch 6/25... Discriminator Loss: 1.3774... Generator Loss: 0.6957
Epoch 6/25... Discriminator Loss: 1.3894... Generator Loss: 0.6957
Epoch 6/25... Discriminator Loss: 1.3838... Generator Loss: 0.6957
Epoch 6/25... Discriminator Loss: 1.3841... Generator Loss: 0.6855
Epoch 6/25... Discriminator Loss: 1.3867... Generator Loss: 0.6939
Epoch 6/25... Discriminator Loss: 1.3868... Generator Loss: 0.6977
Epoch 6/25... Discriminator Loss: 1.3863... Generator Loss: 0.6883
Epoch 6/25... Discriminator Loss: 1.3881... Generator Loss: 0.6952
Epoch 6/25... Discriminator Loss: 1.3875... Generator Loss: 0.6823
Epoch 6/25... Discriminator Loss: 1.3888... Generator Loss: 0.6949
Epoch 6/25... Discriminator Loss: 1.3877... Generator Loss: 0.6991
Epoch 6/25... Discriminator Loss: 1.3846... Generator Loss: 0.6894
Epoch 6/25... Discriminator Loss: 1.3918... Generator Loss: 0.6809
Epoch 6/25... Discriminator Loss: 1.3908... Generator Loss: 0.6997
Epoch 6/25... Discriminator Loss: 1.3835... Generator Loss: 0.6920
Epoch 6/25... Discriminator Loss: 1.3930... Generator Loss: 0.6815
Epoch 6/25... Discriminator Loss: 1.3848... Generator Loss: 0.6917
Epoch 6/25... Discriminator Loss: 1.3881... Generator Loss: 0.6900
Epoch 6/25... Discriminator Loss: 1.3862... Generator Loss: 0.6964
Epoch 6/25... Discriminator Loss: 1.3842... Generator Loss: 0.6903
Epoch 6/25... Discriminator Loss: 1.3895... Generator Loss: 0.7000
Epoch 6/25... Discriminator Loss: 1.3853... Generator Loss: 0.6986
Epoch 6/25... Discriminator Loss: 1.3869... Generator Loss: 0.6911
Epoch 6/25... Discriminator Loss: 1.3887... Generator Loss: 0.6888
Epoch 6/25... Discriminator Loss: 1.3861... Generator Loss: 0.6924
Epoch 6/25... Discriminator Loss: 1.3850... Generator Loss: 0.6912
Epoch 6/25... Discriminator Loss: 1.3837... Generator Loss: 0.6961
Epoch 6/25... Discriminator Loss: 1.3863... Generator Loss: 0.6924
Epoch 6/25... Discriminator Loss: 1.3889... Generator Loss: 0.6830
Epoch 6/25... Discriminator Loss: 1.3832... Generator Loss: 0.7027
Epoch 6/25... Discriminator Loss: 1.3904... Generator Loss: 0.6940
Epoch 6/25... Discriminator Loss: 1.3833... Generator Loss: 0.6894
Epoch 6/25... Discriminator Loss: 1.3891... Generator Loss: 0.6918
Epoch 7/25... Discriminator Loss: 1.3906... Generator Loss: 0.6952
Epoch 7/25... Discriminator Loss: 1.3864... Generator Loss: 0.6933
Epoch 7/25... Discriminator Loss: 1.3891... Generator Loss: 0.6822
Epoch 7/25... Discriminator Loss: 1.3869... Generator Loss: 0.6956
Epoch 7/25... Discriminator Loss: 1.3847... Generator Loss: 0.6969
Epoch 7/25... Discriminator Loss: 1.3864... Generator Loss: 0.6862
Epoch 7/25... Discriminator Loss: 1.3884... Generator Loss: 0.6923
Epoch 7/25... Discriminator Loss: 1.3873... Generator Loss: 0.6952
Epoch 7/25... Discriminator Loss: 1.3859... Generator Loss: 0.6963
Epoch 7/25... Discriminator Loss: 1.3852... Generator Loss: 0.6935
Epoch 7/25... Discriminator Loss: 1.3863... Generator Loss: 0.6957
Epoch 7/25... Discriminator Loss: 1.3861... Generator Loss: 0.6942
Epoch 7/25... Discriminator Loss: 1.3864... Generator Loss: 0.6938
Epoch 7/25... Discriminator Loss: 1.3862... Generator Loss: 0.6901
Epoch 7/25... Discriminator Loss: 1.3926... Generator Loss: 0.6857
Epoch 7/25... Discriminator Loss: 1.3875... Generator Loss: 0.6992
Epoch 7/25... Discriminator Loss: 1.3840... Generator Loss: 0.6901
Epoch 7/25... Discriminator Loss: 1.3868... Generator Loss: 0.6942
Epoch 7/25... Discriminator Loss: 1.3865... Generator Loss: 0.6942
Epoch 7/25... Discriminator Loss: 1.3868... Generator Loss: 0.6922
Epoch 7/25... Discriminator Loss: 1.3866... Generator Loss: 0.6960
Epoch 7/25... Discriminator Loss: 1.3856... Generator Loss: 0.6979
Epoch 7/25... Discriminator Loss: 1.3832... Generator Loss: 0.6914
Epoch 7/25... Discriminator Loss: 1.3872... Generator Loss: 0.6978
Epoch 7/25... Discriminator Loss: 1.3846... Generator Loss: 0.6882
Epoch 7/25... Discriminator Loss: 1.3961... Generator Loss: 0.6814
Epoch 7/25... Discriminator Loss: 1.3875... Generator Loss: 0.6971
Epoch 7/25... Discriminator Loss: 1.3830... Generator Loss: 0.6890
Epoch 7/25... Discriminator Loss: 1.3895... Generator Loss: 0.6911
Epoch 7/25... Discriminator Loss: 1.3853... Generator Loss: 0.6894
Epoch 7/25... Discriminator Loss: 1.3880... Generator Loss: 0.6923
Epoch 7/25... Discriminator Loss: 1.3903... Generator Loss: 0.6968
Epoch 7/25... Discriminator Loss: 1.3841... Generator Loss: 0.6896
Epoch 7/25... Discriminator Loss: 1.3896... Generator Loss: 0.6885
Epoch 7/25... Discriminator Loss: 1.3865... Generator Loss: 0.6946
Epoch 7/25... Discriminator Loss: 1.3854... Generator Loss: 0.6933
Epoch 7/25... Discriminator Loss: 1.3881... Generator Loss: 0.6945
Epoch 7/25... Discriminator Loss: 1.3851... Generator Loss: 0.6905
Epoch 7/25... Discriminator Loss: 1.3879... Generator Loss: 0.6906
Epoch 7/25... Discriminator Loss: 1.3863... Generator Loss: 0.6959
Epoch 7/25... Discriminator Loss: 1.3857... Generator Loss: 0.6881
Epoch 7/25... Discriminator Loss: 1.3915... Generator Loss: 0.6890
Epoch 7/25... Discriminator Loss: 1.3876... Generator Loss: 0.6947
Epoch 7/25... Discriminator Loss: 1.3885... Generator Loss: 0.6833
Epoch 7/25... Discriminator Loss: 1.3982... Generator Loss: 0.6985
Epoch 7/25... Discriminator Loss: 1.3913... Generator Loss: 0.6789
Epoch 7/25... Discriminator Loss: 1.3937... Generator Loss: 0.7048
Epoch 7/25... Discriminator Loss: 1.3765... Generator Loss: 0.6888
Epoch 7/25... Discriminator Loss: 1.3839... Generator Loss: 0.6955
Epoch 7/25... Discriminator Loss: 1.3872... Generator Loss: 0.6877
Epoch 7/25... Discriminator Loss: 1.3861... Generator Loss: 0.6862
Epoch 7/25... Discriminator Loss: 1.3898... Generator Loss: 0.6937
Epoch 7/25... Discriminator Loss: 1.3874... Generator Loss: 0.6961
Epoch 7/25... Discriminator Loss: 1.3833... Generator Loss: 0.6958
Epoch 7/25... Discriminator Loss: 1.3932... Generator Loss: 0.6785
Epoch 7/25... Discriminator Loss: 1.3888... Generator Loss: 0.6868
Epoch 7/25... Discriminator Loss: 1.3884... Generator Loss: 0.6957
Epoch 7/25... Discriminator Loss: 1.3867... Generator Loss: 0.6779
Epoch 7/25... Discriminator Loss: 1.3879... Generator Loss: 0.6992
Epoch 7/25... Discriminator Loss: 1.4065... Generator Loss: 0.6786
Epoch 7/25... Discriminator Loss: 1.3839... Generator Loss: 0.6955
Epoch 7/25... Discriminator Loss: 1.3973... Generator Loss: 0.7132
Epoch 7/25... Discriminator Loss: 1.3794... Generator Loss: 0.6748
Epoch 7/25... Discriminator Loss: 1.3858... Generator Loss: 0.6974
Epoch 7/25... Discriminator Loss: 1.3774... Generator Loss: 0.6710
Epoch 7/25... Discriminator Loss: 1.3935... Generator Loss: 0.6924
Epoch 7/25... Discriminator Loss: 1.3963... Generator Loss: 0.6915
Epoch 7/25... Discriminator Loss: 1.3833... Generator Loss: 0.6803
Epoch 7/25... Discriminator Loss: 1.3842... Generator Loss: 0.7145
Epoch 7/25... Discriminator Loss: 1.3872... Generator Loss: 0.6864
Epoch 7/25... Discriminator Loss: 1.3834... Generator Loss: 0.7088
Epoch 7/25... Discriminator Loss: 1.3898... Generator Loss: 0.6708
Epoch 7/25... Discriminator Loss: 1.3846... Generator Loss: 0.7163
Epoch 7/25... Discriminator Loss: 1.3964... Generator Loss: 0.6461
Epoch 7/25... Discriminator Loss: 1.4029... Generator Loss: 0.7164
Epoch 7/25... Discriminator Loss: 1.3968... Generator Loss: 0.6904
Epoch 7/25... Discriminator Loss: 1.3865... Generator Loss: 0.6853
Epoch 7/25... Discriminator Loss: 1.3898... Generator Loss: 0.6668
Epoch 7/25... Discriminator Loss: 1.3843... Generator Loss: 0.6993
Epoch 7/25... Discriminator Loss: 1.3855... Generator Loss: 0.6872
Epoch 7/25... Discriminator Loss: 1.3861... Generator Loss: 0.6729
Epoch 7/25... Discriminator Loss: 1.3886... Generator Loss: 0.7111
Epoch 7/25... Discriminator Loss: 1.3833... Generator Loss: 0.6893
Epoch 7/25... Discriminator Loss: 1.3840... Generator Loss: 0.6988
Epoch 7/25... Discriminator Loss: 1.4019... Generator Loss: 0.6846
Epoch 7/25... Discriminator Loss: 1.3770... Generator Loss: 0.6865
Epoch 7/25... Discriminator Loss: 1.3928... Generator Loss: 0.6836
Epoch 7/25... Discriminator Loss: 1.3903... Generator Loss: 0.7029
Epoch 7/25... Discriminator Loss: 1.3813... Generator Loss: 0.6857
Epoch 7/25... Discriminator Loss: 1.3955... Generator Loss: 0.7063
Epoch 7/25... Discriminator Loss: 1.3933... Generator Loss: 0.6764
Epoch 7/25... Discriminator Loss: 1.3853... Generator Loss: 0.6987
Epoch 7/25... Discriminator Loss: 1.3904... Generator Loss: 0.6896
Epoch 7/25... Discriminator Loss: 1.3765... Generator Loss: 0.6956
Epoch 7/25... Discriminator Loss: 1.3908... Generator Loss: 0.6945
Epoch 7/25... Discriminator Loss: 1.3864... Generator Loss: 0.6840
Epoch 7/25... Discriminator Loss: 1.3903... Generator Loss: 0.6897
Epoch 7/25... Discriminator Loss: 1.3937... Generator Loss: 0.6778
Epoch 7/25... Discriminator Loss: 1.3920... Generator Loss: 0.7122
Epoch 7/25... Discriminator Loss: 1.3871... Generator Loss: 0.6934
Epoch 7/25... Discriminator Loss: 1.4050... Generator Loss: 0.6596
Epoch 7/25... Discriminator Loss: 1.3910... Generator Loss: 0.7027
Epoch 7/25... Discriminator Loss: 1.3949... Generator Loss: 0.6802
Epoch 7/25... Discriminator Loss: 1.3860... Generator Loss: 0.6890
Epoch 7/25... Discriminator Loss: 1.3915... Generator Loss: 0.6907
Epoch 7/25... Discriminator Loss: 1.3975... Generator Loss: 0.7152
Epoch 7/25... Discriminator Loss: 1.3792... Generator Loss: 0.6851
Epoch 7/25... Discriminator Loss: 1.3927... Generator Loss: 0.6853
Epoch 7/25... Discriminator Loss: 1.3977... Generator Loss: 0.6915
Epoch 7/25... Discriminator Loss: 1.3864... Generator Loss: 0.6954
Epoch 7/25... Discriminator Loss: 1.3945... Generator Loss: 0.6935
Epoch 7/25... Discriminator Loss: 1.3873... Generator Loss: 0.6748
Epoch 7/25... Discriminator Loss: 1.3913... Generator Loss: 0.7085
Epoch 7/25... Discriminator Loss: 1.3874... Generator Loss: 0.6960
Epoch 7/25... Discriminator Loss: 1.3802... Generator Loss: 0.6912
Epoch 7/25... Discriminator Loss: 1.3959... Generator Loss: 0.6834
Epoch 7/25... Discriminator Loss: 1.3869... Generator Loss: 0.6963
Epoch 7/25... Discriminator Loss: 1.3869... Generator Loss: 0.6826
Epoch 7/25... Discriminator Loss: 1.3949... Generator Loss: 0.6969
Epoch 7/25... Discriminator Loss: 1.3828... Generator Loss: 0.7019
Epoch 7/25... Discriminator Loss: 1.3872... Generator Loss: 0.6786
Epoch 7/25... Discriminator Loss: 1.3913... Generator Loss: 0.7123
Epoch 7/25... Discriminator Loss: 1.3811... Generator Loss: 0.6887
Epoch 7/25... Discriminator Loss: 1.3876... Generator Loss: 0.7247
Epoch 7/25... Discriminator Loss: 1.4158... Generator Loss: 0.6270
Epoch 7/25... Discriminator Loss: 1.4082... Generator Loss: 0.6971
Epoch 7/25... Discriminator Loss: 1.3903... Generator Loss: 0.6748
Epoch 7/25... Discriminator Loss: 1.3982... Generator Loss: 0.7045
Epoch 7/25... Discriminator Loss: 1.3858... Generator Loss: 0.6839
Epoch 7/25... Discriminator Loss: 1.3922... Generator Loss: 0.7035
Epoch 7/25... Discriminator Loss: 1.3777... Generator Loss: 0.6890
Epoch 7/25... Discriminator Loss: 1.3826... Generator Loss: 0.6943
Epoch 7/25... Discriminator Loss: 1.3921... Generator Loss: 0.7153
Epoch 7/25... Discriminator Loss: 1.3823... Generator Loss: 0.6896
Epoch 7/25... Discriminator Loss: 1.4018... Generator Loss: 0.6976
Epoch 7/25... Discriminator Loss: 1.3794... Generator Loss: 0.6922
Epoch 7/25... Discriminator Loss: 1.3906... Generator Loss: 0.6975
Epoch 7/25... Discriminator Loss: 1.3831... Generator Loss: 0.6853
Epoch 7/25... Discriminator Loss: 1.4065... Generator Loss: 0.6993
Epoch 7/25... Discriminator Loss: 1.4025... Generator Loss: 0.7189
Epoch 7/25... Discriminator Loss: 1.4095... Generator Loss: 0.6209
Epoch 7/25... Discriminator Loss: 1.3757... Generator Loss: 0.6979
Epoch 7/25... Discriminator Loss: 1.3997... Generator Loss: 0.7547
Epoch 7/25... Discriminator Loss: 1.4034... Generator Loss: 0.6866
Epoch 7/25... Discriminator Loss: 1.4108... Generator Loss: 0.6863
Epoch 7/25... Discriminator Loss: 1.4148... Generator Loss: 0.6855
Epoch 7/25... Discriminator Loss: 1.3831... Generator Loss: 0.6627
Epoch 7/25... Discriminator Loss: 1.3909... Generator Loss: 0.6774
Epoch 7/25... Discriminator Loss: 1.4480... Generator Loss: 0.6408
Epoch 7/25... Discriminator Loss: 1.3965... Generator Loss: 0.6838
Epoch 7/25... Discriminator Loss: 1.4074... Generator Loss: 0.6839
Epoch 7/25... Discriminator Loss: 1.4015... Generator Loss: 0.7021
Epoch 7/25... Discriminator Loss: 1.4146... Generator Loss: 0.6761
Epoch 7/25... Discriminator Loss: 1.4078... Generator Loss: 0.6114
Epoch 7/25... Discriminator Loss: 1.3808... Generator Loss: 0.6605
Epoch 7/25... Discriminator Loss: 1.3726... Generator Loss: 0.7227
Epoch 7/25... Discriminator Loss: 1.3882... Generator Loss: 0.7061
Epoch 7/25... Discriminator Loss: 1.3904... Generator Loss: 0.7016
Epoch 8/25... Discriminator Loss: 1.3822... Generator Loss: 0.6786
Epoch 8/25... Discriminator Loss: 1.3861... Generator Loss: 0.7242
Epoch 8/25... Discriminator Loss: 1.4030... Generator Loss: 0.6709
Epoch 8/25... Discriminator Loss: 1.3811... Generator Loss: 0.6881
Epoch 8/25... Discriminator Loss: 1.3754... Generator Loss: 0.7245
Epoch 8/25... Discriminator Loss: 1.3833... Generator Loss: 0.6931
Epoch 8/25... Discriminator Loss: 1.3899... Generator Loss: 0.7100
Epoch 8/25... Discriminator Loss: 1.3761... Generator Loss: 0.7260
Epoch 8/25... Discriminator Loss: 1.4121... Generator Loss: 0.6625
Epoch 8/25... Discriminator Loss: 1.3519... Generator Loss: 0.6631
Epoch 8/25... Discriminator Loss: 1.3954... Generator Loss: 0.6598
Epoch 8/25... Discriminator Loss: 1.3983... Generator Loss: 0.6470
Epoch 8/25... Discriminator Loss: 1.3926... Generator Loss: 0.7000
Epoch 8/25... Discriminator Loss: 1.3807... Generator Loss: 0.6800
Epoch 8/25... Discriminator Loss: 1.3724... Generator Loss: 0.6650
Epoch 8/25... Discriminator Loss: 1.3897... Generator Loss: 0.7305
Epoch 8/25... Discriminator Loss: 1.3979... Generator Loss: 0.6881
Epoch 8/25... Discriminator Loss: 1.4070... Generator Loss: 0.6808
Epoch 8/25... Discriminator Loss: 1.4051... Generator Loss: 0.6973
Epoch 8/25... Discriminator Loss: 1.3963... Generator Loss: 0.6253
Epoch 8/25... Discriminator Loss: 1.3787... Generator Loss: 0.6972
Epoch 8/25... Discriminator Loss: 1.3844... Generator Loss: 0.7171
Epoch 8/25... Discriminator Loss: 1.3945... Generator Loss: 0.6382
Epoch 8/25... Discriminator Loss: 1.3804... Generator Loss: 0.6789
Epoch 8/25... Discriminator Loss: 1.4317... Generator Loss: 0.6499
Epoch 8/25... Discriminator Loss: 1.3291... Generator Loss: 0.6764
Epoch 8/25... Discriminator Loss: 1.3863... Generator Loss: 0.6552
Epoch 8/25... Discriminator Loss: 1.3597... Generator Loss: 0.6310
Epoch 8/25... Discriminator Loss: 1.3810... Generator Loss: 0.7464
Epoch 8/25... Discriminator Loss: 1.4395... Generator Loss: 0.6536
Epoch 8/25... Discriminator Loss: 1.3967... Generator Loss: 0.6710
Epoch 8/25... Discriminator Loss: 1.3451... Generator Loss: 0.6883
Epoch 8/25... Discriminator Loss: 1.3817... Generator Loss: 0.6764
Epoch 8/25... Discriminator Loss: 1.3805... Generator Loss: 0.7485
Epoch 8/25... Discriminator Loss: 1.4262... Generator Loss: 0.6760
Epoch 8/25... Discriminator Loss: 1.3931... Generator Loss: 0.7028
Epoch 8/25... Discriminator Loss: 1.4116... Generator Loss: 0.6564
Epoch 8/25... Discriminator Loss: 1.3993... Generator Loss: 0.7151
Epoch 8/25... Discriminator Loss: 1.3687... Generator Loss: 0.6737
Epoch 8/25... Discriminator Loss: 1.3846... Generator Loss: 0.6911
Epoch 8/25... Discriminator Loss: 1.3724... Generator Loss: 0.6695
Epoch 8/25... Discriminator Loss: 1.3735... Generator Loss: 0.6890
Epoch 8/25... Discriminator Loss: 1.3874... Generator Loss: 0.6811
Epoch 8/25... Discriminator Loss: 1.3572... Generator Loss: 0.7057
Epoch 8/25... Discriminator Loss: 1.3978... Generator Loss: 0.7318
Epoch 8/25... Discriminator Loss: 1.3927... Generator Loss: 0.6764
Epoch 8/25... Discriminator Loss: 1.3715... Generator Loss: 0.6864
Epoch 8/25... Discriminator Loss: 1.3819... Generator Loss: 0.6794
Epoch 8/25... Discriminator Loss: 1.4013... Generator Loss: 0.6991
Epoch 8/25... Discriminator Loss: 1.3682... Generator Loss: 0.6693
Epoch 8/25... Discriminator Loss: 1.3642... Generator Loss: 0.7001
Epoch 8/25... Discriminator Loss: 1.3707... Generator Loss: 0.6942
Epoch 8/25... Discriminator Loss: 1.3784... Generator Loss: 0.6881
Epoch 8/25... Discriminator Loss: 1.3734... Generator Loss: 0.6830
Epoch 8/25... Discriminator Loss: 1.4031... Generator Loss: 0.6704
Epoch 8/25... Discriminator Loss: 1.3670... Generator Loss: 0.6658
Epoch 8/25... Discriminator Loss: 1.3786... Generator Loss: 0.7343
Epoch 8/25... Discriminator Loss: 1.4115... Generator Loss: 0.6740
Epoch 8/25... Discriminator Loss: 1.3719... Generator Loss: 0.6696
Epoch 8/25... Discriminator Loss: 1.3789... Generator Loss: 0.7193
Epoch 8/25... Discriminator Loss: 1.3995... Generator Loss: 0.7510
Epoch 8/25... Discriminator Loss: 1.3974... Generator Loss: 0.6769
Epoch 8/25... Discriminator Loss: 1.3851... Generator Loss: 0.6995
Epoch 8/25... Discriminator Loss: 1.3868... Generator Loss: 0.6892
Epoch 8/25... Discriminator Loss: 1.4073... Generator Loss: 0.6834
Epoch 8/25... Discriminator Loss: 1.3735... Generator Loss: 0.6968
Epoch 8/25... Discriminator Loss: 1.4009... Generator Loss: 0.6871
Epoch 8/25... Discriminator Loss: 1.4090... Generator Loss: 0.6930
Epoch 8/25... Discriminator Loss: 1.3894... Generator Loss: 0.7241
Epoch 8/25... Discriminator Loss: 1.3869... Generator Loss: 0.7062
Epoch 8/25... Discriminator Loss: 1.3854... Generator Loss: 0.6721
Epoch 8/25... Discriminator Loss: 1.3761... Generator Loss: 0.7107
Epoch 8/25... Discriminator Loss: 1.3773... Generator Loss: 0.6880